{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cba2c2ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyecharts.charts import Bar\n",
    "from pyecharts import options as opts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b0c802e5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\python\\Anaconda\\lib\\site-packages\\scipy\\__init__.py:155: UserWarning: A NumPy version >=1.18.5 and <1.25.0 is required for this version of SciPy (detected version 1.26.4\n",
      "  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n"
     ]
    }
   ],
   "source": [
    "#导包\n",
    "import  numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "plt.rcParams['font.family']=['SimHei']#显示中文标签\n",
    "plt.rcParams['axes.unicode_minus']=False#用来正常显示负号"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f684d88",
   "metadata": {},
   "source": [
    "cpc单次点击费用：每次点击广告的成本。\n",
    "cpc总费用：广告总花费。\n",
    "cpc曝光量：广告被展示的次数。\n",
    "cpc访问量：通过广告点击进入门店页面的次数。\n",
    "gmvroi：总商品交易额的投资回报率（Gross Merchandise Volume Return on Investment）。\n",
    "下单转换率：访问量转化为下单量的比例。\n",
    "单均gmv：平均每单的交易额。\n",
    "单均实收：平均每单的实际收入。\n",
    "实收roi：实际收入的投资回报率。\n",
    "无效订单：未成交的订单数量。\n",
    "有效订单：成交的订单数量。\n",
    "自增主键：数据记录的唯一标识符。\n",
    "自然曝光量：非广告带来的曝光量。\n",
    "自然访问量：非广告带来的访问量。\n",
    "门店下单量：门店接收到的订单总数。\n",
    "门店实收：门店实际收到的金额。\n",
    "门店曝光量：门店的总曝光量。\n",
    "门店营业额：门店的总营业额。\n",
    "门店访问量：访问门店的总人数。\n",
    "通过这些数据，可以对外卖平台上的门店业绩进行全面的分析，了解广告投放的效果、顾客的下单行为、门店的营收情况等，从而帮助商家优化营销策略、提高运营效率和盈利能力。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "15597457",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 读取数据\n",
    "data1=pd.read_csv(r'F:\\大二下\\数据分析与可视化\\外卖分析数据集\\cpc.csv',encoding=\"ANSI\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fa30866e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1177 entries, 0 to 1176\n",
      "Data columns (total 24 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   updateTime  1177 non-null   object \n",
      " 1   平台i         1177 non-null   object \n",
      " 2   门店ID        1177 non-null   int64  \n",
      " 3   平台门店名称      1177 non-null   object \n",
      " 4   日期          1177 non-null   object \n",
      " 5   cpc单次点击费用   1165 non-null   float64\n",
      " 6   cpc总费用      1177 non-null   float64\n",
      " 7   cpc曝光量      1177 non-null   int64  \n",
      " 8   cpc访问量      1177 non-null   int64  \n",
      " 9   gmvroi      1177 non-null   float64\n",
      " 10  下单转换率       1177 non-null   float64\n",
      " 11  单均gmv       1177 non-null   float64\n",
      " 12  单均实收        1177 non-null   float64\n",
      " 13  实收roi       1177 non-null   float64\n",
      " 14  无效订单        1168 non-null   float64\n",
      " 15  有效订单        1168 non-null   float64\n",
      " 16  自增主键        1177 non-null   int64  \n",
      " 17  自然曝光量       1165 non-null   float64\n",
      " 18  自然访问量       1165 non-null   float64\n",
      " 19  门店下单量       1165 non-null   float64\n",
      " 20  门店实收        1168 non-null   float64\n",
      " 21  门店曝光量       1165 non-null   float64\n",
      " 22  门店营业额       1168 non-null   float64\n",
      " 23  门店访问量       1165 non-null   float64\n",
      "dtypes: float64(16), int64(4), object(4)\n",
      "memory usage: 220.8+ KB\n"
     ]
    }
   ],
   "source": [
    "data1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "482be024",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>updateTime</th>\n",
       "      <th>平台i</th>\n",
       "      <th>门店ID</th>\n",
       "      <th>平台门店名称</th>\n",
       "      <th>日期</th>\n",
       "      <th>cpc单次点击费用</th>\n",
       "      <th>cpc总费用</th>\n",
       "      <th>cpc曝光量</th>\n",
       "      <th>cpc访问量</th>\n",
       "      <th>gmvroi</th>\n",
       "      <th>...</th>\n",
       "      <th>无效订单</th>\n",
       "      <th>有效订单</th>\n",
       "      <th>自增主键</th>\n",
       "      <th>自然曝光量</th>\n",
       "      <th>自然访问量</th>\n",
       "      <th>门店下单量</th>\n",
       "      <th>门店实收</th>\n",
       "      <th>门店曝光量</th>\n",
       "      <th>门店营业额</th>\n",
       "      <th>门店访问量</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>美团</td>\n",
       "      <td>8184590</td>\n",
       "      <td>蛙小辣火锅杯（合生汇店）</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.30</td>\n",
       "      <td>225.65</td>\n",
       "      <td>2711</td>\n",
       "      <td>173</td>\n",
       "      <td>7.43</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>1501603</td>\n",
       "      <td>1427.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>1167.97</td>\n",
       "      <td>4138.0</td>\n",
       "      <td>3391.38</td>\n",
       "      <td>332.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>美团</td>\n",
       "      <td>8223184</td>\n",
       "      <td>蛙小辣美蛙火锅杯（大宁国际店）</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.54</td>\n",
       "      <td>261.10</td>\n",
       "      <td>3665</td>\n",
       "      <td>169</td>\n",
       "      <td>4.30</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1501605</td>\n",
       "      <td>11.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>660.73</td>\n",
       "      <td>3676.0</td>\n",
       "      <td>1854.76</td>\n",
       "      <td>255.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>美团</td>\n",
       "      <td>8106681</td>\n",
       "      <td>蛙小辣·美蛙火锅杯（长风大悦城店）</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.38</td>\n",
       "      <td>177.50</td>\n",
       "      <td>2115</td>\n",
       "      <td>129</td>\n",
       "      <td>6.75</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>1502265</td>\n",
       "      <td>874.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>1080.31</td>\n",
       "      <td>2989.0</td>\n",
       "      <td>2728.72</td>\n",
       "      <td>294.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>美团</td>\n",
       "      <td>8165842</td>\n",
       "      <td>蛙小辣·美蛙火锅杯（虹口足球场店）</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.47</td>\n",
       "      <td>240.30</td>\n",
       "      <td>2937</td>\n",
       "      <td>164</td>\n",
       "      <td>7.43</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>1502274</td>\n",
       "      <td>614.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>1231.86</td>\n",
       "      <td>3551.0</td>\n",
       "      <td>3606.10</td>\n",
       "      <td>326.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>饿了么</td>\n",
       "      <td>2001220953</td>\n",
       "      <td>利芳·一人食大盘鸡(国定路店)</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.55</td>\n",
       "      <td>623.50</td>\n",
       "      <td>4190</td>\n",
       "      <td>401</td>\n",
       "      <td>5.35</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>1502523</td>\n",
       "      <td>1872.0</td>\n",
       "      <td>387.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>1677.96</td>\n",
       "      <td>6062.0</td>\n",
       "      <td>6558.49</td>\n",
       "      <td>788.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         updateTime  平台i        门店ID             平台门店名称          日期  \\\n",
       "0  2019/12/12 11:54   美团     8184590       蛙小辣火锅杯（合生汇店）  2019-12-10   \n",
       "1  2019/12/12 11:54   美团     8223184    蛙小辣美蛙火锅杯（大宁国际店）  2019-12-10   \n",
       "2  2019/12/12 11:54   美团     8106681  蛙小辣·美蛙火锅杯（长风大悦城店）  2019-12-10   \n",
       "3  2019/12/12 11:54   美团     8165842  蛙小辣·美蛙火锅杯（虹口足球场店）  2019-12-10   \n",
       "4  2019/12/12 11:54  饿了么  2001220953    利芳·一人食大盘鸡(国定路店)  2019-12-10   \n",
       "\n",
       "   cpc单次点击费用  cpc总费用  cpc曝光量  cpc访问量  gmvroi  ...  无效订单   有效订单     自增主键  \\\n",
       "0       1.30  225.65    2711     173    7.43  ...   0.0   59.0  1501603   \n",
       "1       1.54  261.10    3665     169    4.30  ...   0.0   35.0  1501605   \n",
       "2       1.38  177.50    2115     129    6.75  ...   1.0   53.0  1502265   \n",
       "3       1.47  240.30    2937     164    7.43  ...   2.0   64.0  1502274   \n",
       "4       1.55  623.50    4190     401    5.35  ...   0.0  132.0  1502523   \n",
       "\n",
       "    自然曝光量  自然访问量  门店下单量     门店实收   门店曝光量    门店营业额  门店访问量  \n",
       "0  1427.0  159.0   56.0  1167.97  4138.0  3391.38  332.0  \n",
       "1    11.0   86.0   32.0   660.73  3676.0  1854.76  255.0  \n",
       "2   874.0  165.0   53.0  1080.31  2989.0  2728.72  294.0  \n",
       "3   614.0  162.0   63.0  1231.86  3551.0  3606.10  326.0  \n",
       "4  1872.0  387.0  132.0  1677.96  6062.0  6558.49  788.0  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91bb1ff3",
   "metadata": {},
   "source": [
    "### 1.1对缺失值数据的分析"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9f534d01",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "updateTime     0\n",
       "平台i            0\n",
       "门店ID           0\n",
       "平台门店名称         0\n",
       "日期             0\n",
       "cpc单次点击费用     12\n",
       "cpc总费用         0\n",
       "cpc曝光量         0\n",
       "cpc访问量         0\n",
       "gmvroi         0\n",
       "下单转换率          0\n",
       "单均gmv          0\n",
       "单均实收           0\n",
       "实收roi          0\n",
       "无效订单           9\n",
       "有效订单           9\n",
       "自增主键           0\n",
       "自然曝光量         12\n",
       "自然访问量         12\n",
       "门店下单量         12\n",
       "门店实收           9\n",
       "门店曝光量         12\n",
       "门店营业额          9\n",
       "门店访问量         12\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing1 = data1.isnull().sum()\n",
    "missing1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d2a38c74",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "删除前数据总量:  (1177, 24)\n"
     ]
    }
   ],
   "source": [
    "missing3 = data1.isnull().sum()\n",
    "print('删除前数据总量: ',data1.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9a709b3e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3q0uXLq4OC8iwyMhIBQcHKzg4WP7+/q4OBwCAVFWtWlXt2rWz7slWrFih5557TjabTZI0atQo1ahRQzt37tRzzz0nSQoLC3NZvAAAAAAAwHUSJpmlVcm6fPnyKlKkSKY+jRs3Vtu2bbVt2zbdd999km6+M548eTLviwHABUgyg8s9/vjjOnTokBYtWqQuXbqoYsWKKlCggNzd3VWgQAFVrFhRXbp00aJFi3Tw4EE1aNDA1SEDcLIHH3xQ3377rdzc3GSaphYtWqRx48a5OiwgQ4KDg3Xy5EmdOHEiUTcKAAC40rFjxzRjxowk0/Pnz6+5c+dqzpw5Vjc/33//vVq1aqXY2FgVLFhQ27ZtU6VKlVSkSBFJUnR0dJbGDgAAAAAAsoeErZellWRmmuZtfSTpzjvv1JYtW1SzZk0ZhiHTNDV16lR98MEHTt1PAEBiHmkXAZzPMAy1atVKrVq1cnUoALKJp556Sl27dtWUKVNkmqYGDx6s+vXr6+GHH3Z1aAAAADlKZGSkZs6cqdmzZ2vXrl2pln3xxRdVrFgxtWrVSuHh4Vq+fLlatmyppUuXWslnRYsWlSTt27dPNWrUSHY948eP17fffptoms1mU3R0tCIjIxUaGqrLly87YO8AAAAA5EZ0P4qcKq+cuwlbN0+pu0zDMOTt7S0/Pz/5+vrK19dX7u7uKa7TNE3FxsbKZrMpMjJSN27cSHQ8AwICtHTpUlWvXl0XLlyQaZoaOnSoqlSpoqZNmzpu5/KovHLuArg9JJkBALKl33//XV9//bV1URsXF6fOnTtrz549Lo4MAAAgZ4mOjlbfvn0l3Xxge+tDw48//ljt2rVTyZIlJUmNGjVSv379NHr0aEnSqlWr1K5dOy1cuFBubm5WS2YRERHavXt3ku2ZpqmzZ8/q7NmzycaTXAwAAAAAcrcaNWooNjY21XGbzWaN161bV25ubikmrwBZhXM3eZUqVdK7774rSXr00UeTLXP9+nWHb7dYsWKaOnWqmjRpIsMwFB8fry5duuiPP/5QiRIlHL69nIxzF4AzkGQGlzp37pwOHDigixcvWs2dZlTHjh0dHBUAV7t06ZJatmypyMhIq9ljSTp06JAGDx7s4uiArPfnn3+qUqVKVgsyAABkRFBQkKpUqaJ9+/ZJUqJ7r+vXr2vkyJFatmyZfv75Z+u3xsPDI1HZpUuXqmfPnpo8ebLVktmt60oos/d3AAAAAHKnhBVUTNNMc/z333/P0viAlHDuJq969eqqXr26rl27pqlTp+rw4cPy9/dXWFiYrl27pgEDBsjLyyvd6/v444/1zDPP6N57702z7NNPP60WLVrohx9+kGEYCgkJ0datW9W6devb2aVch3MXgDOQZAaXiI6OVp8+fTRr1izFx8ff1rpIMgOyv4sXL6p48eLpKhsXF6fWrVvrzJkzVgsXHTt21Jw5cyRJEyZMcFqcQHYTFhamwYMH66uvvtKnn36qPn36uDok5DIfffSRRo8eLcMwdPLkSRUoUOC213n8+HEtXbpUhmGof//+Dogy5+L4IjupU6eOQkJC9MILL+jee+9Vp06dJEkjR47U9evXtXnzZr344otasGBBouUqV64sDw8P/fHHH5o2bZruuuuuROfeoEGDVLBgQWv8zTfflGEYatq0qerVq2dNj4+PV3x8vKKjoxUREaHQ0FAn7zEAAACSQ4uyzsOxTd2tFVEyOg64Cudu6q5evaq33347yXdgr1690p1ktmvXLr399tsaPXq0Zs+erWbNmqW5zIcffqgff/xRhQoV0uLFi1WnTp1MxZ+bce4CcAaSzOASQ4YM0fTp063xhC0VZQQ3bUD2FxcXp4ceekiDBg1S79690yzft29fbd682fr7Hjp0qIYPHy4PDw/NmDHjthNTgcyKj4/XoUOHJN38/UlPjarb8d1336l///5Wa58jR45Up06dFBAQ4NTtIm/x9vbWjRs3ZBiGfHx8HLLOI0eO6I033pC3t3eeT4Li+CI7ee+99zRx4kQZhqG///7bmr5y5UpreNGiRXrppZc0c+ZMa1pYWJj+/PNPNW7cWDt27NC7776rcuXKycfHR9HR0WrWrJlq1apllX/zzTclSfXr19eAAQOyYM8AAADyNrrCch6OrWOdOHFCFy5c0KOPPirDMHT8+PFE4ydOnFBISIgeeOABGYah/fv3y8/PT0ePHlWjRo1cHT7yMM7d9LO/6034/nbMmDHq0aOH8ufPn+wyNptNXbt2lc1mU0hIiJ5//nkdO3ZMxYoVS3VbFSpUUP/+/dW9e3eVK1fOcTuRi3DuAnAGkszgEt99952k/5LLfHx8VKRIEZLGgFxowYIFOn/+vF599VVt27ZNX3zxRYplv/rqK02ePNn6Lmjfvr2GDx8uSRo3bpx++OEHXb16NSvCBpK4ceOGKleuLMMw5Onp6bQHhqdPn1avXr20cuVKmaZp/T1cunRJ48eP15AhQ5yyXeRNCZMWfX19HbJOezKVo5KqcjKOL7KTQoUKJTv9jz/+0Pjx4zVq1CiFhoZqzpw58vDwUMmSJSVJZ8+elY+Pj9asWaOGDRtq9+7d6tKli/Xg+MSJE4mSzAAAAJC16ArLeTi2jlWqVCl5eHikOB4cHKzAwMBE8/38/Ejag8tx7qZfly5drMrZ9mdhb7/9tsaNG6dRo0ape/fuSZb59NNPtW/fPkk33xtPmDBB3bt3l7e3t3x8fKyPt7e34uPjZbPZFBcXp4iICEVERGjGjBn64IMPsm4ncxDOXQDOQJIZXOKff/6xXpp/9NFHGjBggNzd3V0cFQBHM01To0aNshJK58+fr02bNiVbdtOmTXrttdes74aaNWtq2rRp1vygoCC999576tOnDwmpcAl/f39JN8/r9DbznVHjx4/X0KFDFR4ebiWYmaape+65R++8847at2/vlO26QseOHeXt7W19vLy85O7uLjc3N7m7uzvl79zDw0OFCxdWjRo19MADDzh8/TlRvnz5JEmenp4OW6e3t3eif/Myji9yAg8PD73++utq3bq12rVrpx07dmjGjBlWUlp8fLz+/vtvValSRStWrFCtWrV04sQJSTcf/h45csSV4QMAAOR5dIXlPBxbAMiYVq1a6Zlnnkky/cqVK+rZs6fmzJmjWbNmqWzZspJuVqweOXKk9Sy4VatW6tKli15++eV0Px+uXbu243YAAJAmkszgEqVKldKRI0dkGIZefvllEsyAXCoiIkINGzbUyZMnFR0dLelmK03JmThxomJjY2UYhgoVKqSFCxcmSeTp3r27xo4dq1OnTskwDIWFhaW4vlvdWrZkyZJ89yBD3N3d5e3trZiYGKe0INS9e3dNnz49UetlhQoV0nvvvadu3bolqmGUG8ydO9elCaMNGzbUkiVLrOTBvMq+/wm/D+Pj4+Xm5pbqcnFxcfLw8NDevXvVsmVLGYahpUuXqkqVKrS0lQDHFzlJ6dKltXnzZvXq1UvTpk3TlStXrHm7du1SlSpVVKRIES1evFg1a9ZUXFycJGnr1q2uChkAAACiKyxn4tgCgOOYpqmtW7fq/vvv1yeffKJXXnlF7777rsLCwiRJBQsW1JdffplkGQBA9pK73lYix+jcubPeeecdSdLGjRvVokULF0cEwBn8/f31+eef65133tHw4cM1Y8YM2Ww2q3Wm77//Xp06dVLNmjU1f/58+fj4aO7cuZo1a5bVRVNCHh4eGjx4sF555RVJ0vz58zV//vxUY7AnsSQsaxiG9u7dq0qVKjl4j5HbeXp6KiYmJsUWhIKDg+Xp6SkvL68kH0my2Wyy2WyKjo5WRESEIiMjrdZgBg4cqG+++UYREREyDEO9evXSyJEjFRQUlFW75xJZ/aDA/v2zbt06jRw5Uh9++GGWbj8rNG/eXPnz51e+fPnk5eUlDw8PmaapmJgYRUVFKSIiQjabTd99912SJKhTp06pTJky8vPzk6+vr7y8vKyEqPj4eMXGxlrnblxcnLy8vHTy5EkZhmH9XeT2JCiOL3IzDw8PTZkyRTdu3NC3335rXUdt3LhRL730kiTpgQceUN++ffXJJ59IkrZt2+ayeAEAAEBXWM7EsQUAx6lYsaIOHTqkyMhI9erVS0uWLNH69esl3XxmO2LECBUuXDjRMu+//77uuOMOa/zatWsaMGCA9fz8oYceUrFixbJ0PwAgryPJDC7xxhtvaNWqVdq0aZNefvllBQQEqEGDBq4OC4CT3HHHHZo8ebJ69+6tPn36aPPmzTIMQ//++68aNGigWbNm6X//+59mz56tZ555JtnmlO06deqkoUOH6tKlS+lKTrm1pSRqvuB22Lu8Sym54+zZs1YSU1qtdN1apmzZsho4cKCWLFmiqVOnqnr16o4LPBsrXry4KlSokOy8s2fP6tixYzIMQ/Xq1Uu2zOHDh3XhwoVUy9hdv35d+/btk81ms7rwzY1JZsuXL0/1/DNN0+rG0Z4ElbBlLdM0FR4ervDw8ETL2deZ8Ny1r0eS8ufPn6hcWq115VQcX+QF48eP1/fffy8fHx899dRTSVphePXVV/XJJ5+oaNGiat++vaKjo+nCFQAAAACAPCI+Pl579+7VL7/8ohUrVqRrmSVLlmjNmjUaOHCgoqOjtXbtWut9TYUKFdSzZ88ky7Rq1Urly5e3xs+dO6cBAwZIkh5//HG1atXKAXsDAMgIkszgEp6enlq1apVatGihn3/+WY0aNVK9evVUt25dlSpVynqJnx4dO3Z0YqQAHKlq1arauHGjJk6cqMGDB1uttTz//PM6efKk3nzzTbVr1y7VdXh5ealHjx4aMWKE9aL91m41bxUfH6+4uDjrhoVEM2SWPakjPb9TmTnP3nrrLQ0ePDhPdeXatGlTTZkyJdl548ePV//+/SVJv/zyS7JlevbsqcmTJ6daJqFly5apZcuWkm4+lNi9e3euTehLzzloTwq5NWHJnixpH05pfQm/f9P6Ls5tOL7IzYoUKaLly5erTp06SRKr9+3bpypVqmj16tVq0KBBnvrNAgAAAAAgrzt//rzKly+vyMjIDC1nGIb69u2rmjVrqnXr1jp//rw1/d13302z0jYAIHsgyQwuERMTo+7du2v9+vXWS7aNGzdq48aNGV4XSWZAztO3b181bNhQrVq10uHDhxUfH6+3335b//77r8aOHZvm8j179tT777+vuLg4ubm56cCBA7r77rvTte3w8HDduHFDhQoVut3dAFJUuHBh9e7dO8X5n3/+ua5cuZJkOkkkzle/fn1J/yX27Ny5M1cmmXl7e2vq1Km6fPmy+vfvL8MwNGfOHJmmme5rp507d+qff/5R06ZNZRhGonG7hN2EJBzO7Ti+yM2uX7+uZs2aadq0aYkSzHbu3KkhQ4bo559/1oIFC9SmTRsXRgkAAAAAAFyhRIkSaVY4W7FiheLi4tS8efMk82rUqKHg4GCdO3fOekb73Xff6bnnnnNKvAAAx+JNBVxi6NChmjdvnnXxkFoLDqkhqx3IuSpVqqRdu3bp2Wef1bp162Sapj755BNdvXpV06dPT3XZYsWKqWnTplq6dKlM09SkSZPSlZwm3ey6zN59GeAshQsX1rvvvpvi/G+//TbZJDM4n5+fn6T/rjn27t3rynCcxsPDQ+3bt9epU6es1uDat28vKf0J+tWrV9e5c+dSHJeU6IFSXkqC4vgiN4mLi7POL9M09fzzz2vTpk1q2LChVq1apUqVKkmSTpw4obVr10qSevfurfr166tIkSIuixsAAABA1omLi7MqW9lNnTo1Q+90Nm3apH///TfFcSnxO6L4+PjbiBi4iXPXOSpVqqTt27dLutka+qVLlxLN//zzz7V161Zt2LAhybJLly7V1q1bE7X0v3TpUo0dO1Zvvvmm02PPKTh3AWRXvKmAS8yfPz9RYpmvr6+KFClC0hiQx+TLl08rVqxQu3bttGTJEpmmqVmzZsk0Tc2YMSPVZV9++WUryWzmzJkaNWqU1S0ZkJusW7dOX3zxhebOnWslSCHz4uLiVLZsWXXq1EkNGjRQlSpVXB0SAGQ5m81mDcfExFhJZiNGjNDKlStlGIbOnTunmTNnWon8bdu21S+//KLJkyfr8uXL6tmzpxYtWuSS+AEAAABkrejoaPXo0UPSf5X/7eO3lpNuPn+51WOPPZZoeft4QgmXCw8PV758+W4rboBz1zkaNWqkunXrqk2bNipYsKDKly9vzTt+/LhWr14tSWrcuHGi5Ww2mwYNGmSNN2jQQOvXr5dpmnrnnXf06KOPqnbt2lmzE9kc5y6A7IokM7hEaGioNfzRRx9pwIABaTatCiB38vT01IIFC9S8eXOtWrVKpmlq9uzZ8vf318SJE1Nc7sknn1ShQoV05coVXbt2TQsWLKD7XOQqu3fv1sCBA63aXp988omGDBni2qByAR8fHx06dEhubm6uDgUAXCbhA8TY2FhJN7vDHD16tPXgsVWrVhozZkyi5T755BOtW7dOR48e1ZIlS/TFF18k6h46YfJacg83AQAAAORM6W05JzIyUlLy9wP2dSRsgODWhgfs9yeSFBERkalYgYQ4d51jxIgR1vCxY8cSzduzZ4/c3NwUHx+fqBUuSVqyZIn+/vtvGYahSpUqafXq1RoyZIg++ugjxcXFqWPHjvrjjz+s8ufPn5ePj481fvHiRWv40qVLOn36tDUeHBzsqN3LFjh3AWRXJJnBJe6//35t2bJFhmHo5ZdfJsEMyOM8PDz0/fffq3bt2vrjjz+sLjBr1apldT92K3d3d7Vu3VpTpkyRJH311VckmSFXOHfunAYNGqT58+fLNE3rRnDcuHHq1auXChYs6OIIczbDMGg5FUCeFxMTYw1fv35dgYGB6tWrl+Li4mQYhurUqZOo9Wk7X19fTZ06VY8//rhM09Trr7+uatWq6ZFHHkmy3oTDAAAASB5dYTkPx9Zx2rZtq/z58ysgIECenp7y8PBQfHy8YmNjFRkZqYiICKvCiT1BIWHSgoeHhwIDA+Xv7y8PDw95eHgoOjpaUVFR1sde/saNG9ZyFy5c0N13322tOyP/d4DEuesqbdq0UaVKlfTaa69p3bp11rOFoUOHavr06ercubNmzZqlCRMmyN3dXR988IH27NmjtWvX6uTJk4kqszVs2DDJ+u3r69WrV6JpuamyG+cugOyMJDO4RP/+/bVlyxZJ0oYNG/Tss8+6OCIArubj46OlS5fq4Ycf1qVLl1SuXDk1adIk1WVatWqlKVOmyDRNbd++XQcPHtS9996bRREDjhUdHa0xY8ZozJgxioiISFSryMvLS88++6xVKwkAgNuR8Pfk6tWruuuuu/TOO++odevW8vf315w5c+Tp6ZnssvXr19ezzz6rJUuWKCYmRi1bttTWrVtVpkyZRIll9u4aAAAAkDK6wnIejq3jfPvtt+kua092sCfclSpVKkMVUMLCwiTdTGw4c+aMpP8SIBImUADpwbnrOpUqVdLatWv18ccfa/DgwYqLi9OiRYt09uxZ/fjjj+rYsWOi79RZs2apSpUqunbtmubNmycpbyc4ce4CyM5IMoNLtGrVSr169dKkSZPUrVs3+fn56cknn3R1WABc7K677tL06dPVsmVLzZ07V0FBQamWr1+/vnx9fRUVFSXp5o3IRx99lAWRAo43ZswYvfvuu5L+e3jp4+Ojbt26aeDAgSpRooQrwwMA5CIJuz+4evWqJKlly5YaMWKEgoKCVKpUqVSXHzt2rH766SfFxsbq6tWr2rBhQ5IkM1oyAwAASBtdYTkPx9Y1Eh6DuLg4eXhk7DXkfffdpyNHjkiSihYtKum/ZAd7yzqAM3DuOsaJEye0d+9ea7xPnz6qW7eumjdvrkuXLmnbtm2qXbu2Vq1alWi5O+64Qx999JG6desm6eb3bu3atVWyZMlkt2Oz2RQbG2u1yhUeHu68ncrmOHcBZDWSzOASU6ZMUdWqVVW1alXt3btXzzzzjGrVqqXatWurVKlSKdaaT0737t2dGCmArNakSROtW7dODz30UJplvb29Va9ePa1evVqGYVCrAjnagAEDNHnyZJ0/f16enp7q3r27Bg8erOLFi7s6NABALvPQQw9p7dq1kqSqVata09955510LV+mTBn16tVL3333nb799lvVqVNHEt1lAgAAZARdYTkPx9Z1EraaHBsbm+FkB29vb91zzz2JptmPNUl8cCbOXcd49dVXE43v3LlTNWrU0MaNG/XEE0/o3Llz+vvvv/XII4/op59+0oMPPmiV7dKli8aPH6/9+/dLksqVK6fp06dnafw5EecugKxGkhlcokePHlaNH8MwZJqmtm3bpm3btmV4XSSZAblPvXr10l22du3aOnz4sL777jtVr17diVEBzuXv76+PPvpIK1as0OjRo1W6dGlXh5Qlzp49qzVr1iQ779ChQ9bw2rVrk304a2/CO7Uy0s1aVzabTXFxcVbtNi8vL3Xo0OE29yD3OnjwoC5cuJDqeGhoqDV+6NAh+fj46Pjx41kaZ07F8YUrFSpUSA0bNrytdbz77rt6++23rVqu0n+JZaZpkmQGAACQBrrCch6Orevc2qKOI9jXk5dbKoLzce46RsJnswlbfixfvry2bNmiOnXq6OzZs7p48aLefPNN/fzzz4nKf/DBB2rWrJkkad68eRo2bFiara3ndZy7ALIaSWZwKXvz0gmbm86IW5umBpD3PPfcc+rVq5cKFizo6lCQi/z9999avHixAgIC5OPjI09PT7m5uSk6OlqSFBoaqjlz5jh8u+3bt1f79u0dvt7sbPXq1Vq9enWqZUzT1FNPPXXbZW51zz33kGSWisqVK1vDpmmmOf7www9naXw5HccXOV1gYGCSaYUKFdLUqVMlSRUrVszqkAAAAHItusJyHo6tYyU8no5KsqtcubK+/PJL3gfBqTh3M8/Dw0PBwcFWC5L25+jXrl2Tl5eXVe6uu+7SDz/8oDp16ih//vz6+uuvk6yrSZMmqlixog4dOqRu3bql2F0m/sO5CyCrkWQGlwgODuaHCYBDlCtXztUhIBc6evSohgwZkuxvlWmaunjxol566aUk8+ytcyL90nu80lMutTK3/l/y/5S2W49RRseROo4vcqP8+fOra9eurg4DAAAg16ErLOfh2DpWkyZNrKSQfPnyOWSdpUqV0iuvvOKQdQEp4dzNvFKlSunkyZPpKvvAAw9ozpw58vPz0x133JFsmf79+ys6Olp9+vRxYJS5F+cugKxGkhlcIr0XGwAAZDckSTuWu7t7ig9w7d1bGoaRqNZbQnFxcbLZbKmWsa/LZrORqJMB9evXV3R0tLZt2ybDMFSvXr0k43FxcdqyZYsMw1Dt2rXl7u6uiIgI7dy509XhZ3scXwAAAADpRVdYzsOxdaz7779f999/v6vDADKMczfrtGrVKtX53bp1y6JIcgfOXQBZjSQzAACAFGSHbpx37dqladOmadSoUSpcuLDD1+9qL730kqZMmZLsvPHjx6t///6SEtcsTqhnz56aPHlyqmVuFRUVpYiICIc1H55b/fLLLzp79qyCg4NTHA8JCbG6K161apX8/Px06NAhVapUyWVx5xQcXwDIOTLTdRYAAI5EV1jOw7EFAAAA0o8nZAAAALeoV6+eDh48qMDAQPn4+MjT0zPNF4umacrPz88hDxBjY2P1zTff6PPPP9fu3bsl3exqevDgwbe9bkg+Pj7y8fFxdRg5wq3nc1rjKU1D8ji+yA2aNm2qjRs3ytvbW5cuXUq17I0bN/Txxx/r3XffzaLokJudP39eL774oiQpKChI33//vdO2tXz5ch04cIBrMSCPOHTokKpWrSrp5rVXaGgo9w9wObrCch6OLfI6KlQAAICM4KoBAADgFgEBAapQoUKWb/eff/7Rl19+qa+++sp6UW9vTe3LL7/UW2+9JXd39yyPCwCAlLi5uenGjRvy9PRMs+ySJUs0YsQIXbt2TePGjeNFBm7bhg0bZBiG7rrrLqduZ9myZZo9e7ZiY2M1bNgwEn6RbZAM5Rz+/v5WV3eGYXBMkS3QFZbzcGyRHVGhwnUiIyO1adMmSTevAxo1apTuZQ8cOKBdu3apZcuWyp8/v7NCzPOOHz+upUuXWuPt2rVTiRIlXBcQAOQxPNEFAGSpiIgIbd68WdLN2oGPPvpokjKXL1+2bmrd3d315ZdfZmmMgCscOnRIDzzwgGJjY2WapgzDSNRdZ1BQkP766y/rJRIAANmBv7+/pPS1+vDJJ5/INE1NnDhRa9as0c6dO63lgYzy8/Ozhh3V6khy4uPjtXz5cpmmqREjRmjdunXauHGj07YHZATJUM5h/20yDEO+vr4ujgYA8gYSp5OiQoVrXLt2TU899ZQMw5Cfn5/CwsLSvey4ceM0e/ZsvfLKK3rhhRc0aNAglS1b1onR5k1nzpzRG2+8YZ2rDRs2JMkMALIQSWYAgCz1zz//WDdpVapU0R9//JGkjM1m07Rp02QYhgIDA0kyQ55QsWJFNWrUSD/99JOkmy2YVapUSV26dNH//vc/pz9QAgDA7uDBg9q5c2e6yp47d06S5OXllWq5b775Rn/++af1ELh8+fIkmOG2JHzp6MwkkCVLlujy5cvWufvMM884bVtARpEM5Rze3t6Sbt6TpfX7BgBwDBKnE6NChevYr69M08zQsT9//rwWLFggSYqOjtasWbM0Z84cvfPOOxo+fLgzQs32WrdurXvuuUcvvfSS7r33Xoett3DhwpJkVdS2j+c2HTt2lJeXl7y9veXl5WUNO7tVeHd3dxUuXFi1a9dW5cqVnbotADkTSWYAgCxlvzEzTdN6cHsre1PSpmmm2Kz0kSNH5O3tLR8fH/n4+Mjb21vu7u5yc3OTm5ubtbzNZpPNZlNMTIyioqKsT7ly5Zywd8Dtefvtt7VmzRq1adNGffr00SOPPOLqkAAAedCKFSs0cODADC2TWneZ169f18CBA61WOn19ffXxxx/fbpjI4xI+WHfmQ/YPPvhA0s17i4CAAPXs2dNp2wIyimSom3bt2qWIiIjbWke9evWsYXd3d0k3kxzsw0jZmjVrdPHiRUnSs88+q4CAAIdvY8mSJTp+/Lhatmype+65x+Hrz0noxg25FYnTiVGhwnXsxz4jyY6maapDhw6KjIy0lpVuVqYfOXKk7r33Xj333HPOCTibunr1qn744QeZpqmPP/5YDz/8sLp27arnnnvutn+DgoKCUh3PLebOnevylgX79evH8xsASZBkBgDIUvaH4IZhpJhkZn9JaRhGii+MKlSokOkLbMMwrJpxQHZSu3ZtnT17VkWKFHF1KACAXO7XX39V/fr1U5yfsMvm2/Xaa69ZLZ4ZhqH3338/z78gxu1LmPhx7do1/fTTTypevLiKFy+uEiVKOORh/KpVq7Rnzx5rXb1791ZgYOBtrxd5F8lQztGhQwcdPnw408vf+owg4XOIvHxc02vSpEn68ccfJUlPPvmkU5LM3N3d9eabb2rgwIF64IEHtHv3bodvI6egGzfkViROJ0aFCseLi4vTwYMHVaVKlVTLJaxAlVplqoRCQkLUrl071ahRQ3v37tXmzZsVFhZmVbSaNWtWnksyW7ZsmeLj461jsHPnTu3cuVP9+vVTq1at1LlzZzVs2DBT6054rWEYRq5vJd3eYltWb1OSPvvsM73yyisqX758lm4fQPZGkhkAIEslTCxLqSZQwhvn1G7kHPnyE3Ck2NhYnTlzJsVzNDY2NsVlSTADAGSFhg0bqn///ho9enSKL3EMw9CUKVNSXc/s2bO1efPmFOfPnDlTs2fPth6ItmjRQq+99lrmAwf+X8KH7EeOHFHz5s2tcU9PT5UuXVply5bV/fffr2rVqqlmzZq68847073+qKgovfrqq9ZLkeDgYA0dOtSh+4C8h2Qo57Hfe936Ai7hPVlq8xJKWM7eUjpudqlms9mSPKcJDAy0Xn4WLFgwU+s+c+aMmjRpIkl67rnn9M477ySaHxwcLOnm/9mNGzcytY3cgm7c0o9uxpyLxGnnokKF482fP1+vvfaa5s2bl2qLbQl/+9N7HVCgQAF169bNGo+OjlaXLl30zTffyDAMnT17NvOB51DfffedpMQJUqZpKjIyUvPnz9f8+fMVHBysTp06qVOnTrr77rvTve6E3cnmha51PTw8suxvMzY2VtevX7fugyVp9erVJJkBSIQkMzjUnDlzEo137NgxXeVuR0rbAJA9JXwYmVJLZgmldsOc8EI3reVJSENWOn78uEqXLu3qMJCHRUZG6tFHH1V0dLQ17dFHH01SLrXvxi5duiR6YHzruHTzRZNdTExMooc8uRnHF7lBfHy8PvnkE61YsUIzZ85UjRo1ki3XtWvXVNezbdu2FJPM1q5dqx49eljXbNWrV9e8efNuO3bgVrd+38bExOjIkSM6cuSIVq5caU0vW7asGjdurNatW6t+/fqp3mv07NlTR48elXTznmLixIl03QSHIBnKOVK79+e5gGMcOXJEVapUUdGiRVWgQAH5+/vLw8NDx48ft8o88cQTMk1TNptNsbGxioyMVFhYmA4ePChfX19dvnxZr776qiSpSZMmat++vbXs/v37ZRiGYmJikmy7cOHCkmiZXqIbt4ygmzHnInHauahQ4VimaWrcuHEKDQ1V8+bN9frrr2vUqFFptlSW2esrb29vjRgxQt98842km9+3ec2HH36oJk2aaMuWLdqyZYvOnDmTaL5pmjp16pRGjhypkSNHqm7duurSpYvatGmT5vOv9DZSkFvUqlVLGzduzLLtbdmyJVHL97/99pv69u2bZdsHkP2RZAaH6ty5c6KL35QSwG4tdztIMgNyloQ3ZulJMktLcHCwZs+enew80zTVoEEDGYah5s2bq3///re9PSC9UnuBkdxv4N69e3X69Gk1bdrUmWFlOz/99JMaNGiQ7LyEtfxSKpPwgWbbtm1Vrlw5lS9fXhUrVlT16tWdXkM5u4qPj9f27dsl/Xe+2ccTsr9kSK51Pft3q3355L5rEy4XERGhoKCg2ws8h+D4Ijc5ePCgateurX79+mnEiBEOS6JZsGCBOnfurLi4OJmmqcqVK2vlypUk6cApChQooPLly+vSpUu6ePGiIiIikr0WO3r0qI4ePapJkyapaNGi6tixo7p27ZqkVvaoUaMStcDXp08fNWvWLEv2BbkfyVCZFxMTk2Lrm/ZWMhIm6UtSt27dNH369FTnIf3i4uJ04cIFXbhwIdn5tyae2/9f7Oe0h4eHvv32WxmGoapVq1rlChQoYA0n1zpXwvm5Fd24OQ/djDkPidNZgwoVt2/WrFlWMnN8fLzGjRunVatWac6cObr//vudss28XgG5atWqqlq1qnr37i1JOnXqlJYvX64ff/xRGzZsSJRUbpqmNm3apE2bNqlPnz5q06aNXn755WQrdCZkGIbLk4lzo9q1a6tYsWK6ePGiJOn33393cUQAspu8+dYNTpfeG7fbfWjGxQOQsznigYGfn1+iWhUpKVGiRLrKAbcrPb9tyZX5/vvvNXLkSFWtWlWDBw9WmzZt8sTv3MWLF60b1uTYj8Gvv/6aZpnFixcnmu7n56c6dero8ccfV/PmzVWxYkUHRJwzpPcay95y1q1JUOldPmFLXtevX1eJEiXSGWHOxvFFbmOz2fTJJ5/o+++/1/jx429rXWFhYRowYIBmzJgh6eb5/tBDD2nFihVWKySAo913332JanZfvnxZJ06c0KFDh7R//37t2rVLu3btUlhYmFXm33//1bhx4/Txxx+rSZMmGjJkiB5++GGNGDFC7733nnV90bBhQ3366adZvk/I2UiGcrxr167pgQce0AcffKAXXnjB1eHkecldz6bnGjdhAlnCVrgSTk+uQmLCsrm1hSO6cXMeuhlzHhKnswYVKm7ftWvXVLhwYV2+fNn6+9y3b59q1qypoUOHavDgwQ5/Dptbf68yq1SpUurdu7d69+6t8PBwrVixQjNmzNDatWut89neLfbs2bNVokSJNJPM4Dz2azPTNHXs2DFFR0c7pNEIALkDSWZwqODg4HRdiKW3HAAAOcmnn34qPz8/+fr6ysfHR+7u7tbHZrNZn+joaEVERFitHEnSypUrZZqm/vzzT7Vr107lypXT4MGD1b59+1z7UMLZDxrDw8O1Zs0arVmzRoMGDVL16tXVsWNHtWvXLlcnOqxYsUL58+dXQECAPD095eHhofj4eKu7moiICEVFRUn6LwnK3kVFvnz59PLLLyswMNDq/sbDw0PR0dGKiopK9JGkGzduWNs9c+aMKlasaM3LrV0BcHyR29StW1ebNm2SaZo6efKkWrRooSJFimR4PVFRURo5cqQmTJigq1evWt/xL774oqZOncrDSGSpwoULq3Dhwnr44YetaTabTTt37tRPP/2kRYsW6e+//5Z083pk+fLlWr58uSpXrqz9+/db52/NmjW1aNEiWtNAhpAM5RwTJkzQmTNn1KFDB02bNk0TJkxQ5cqVXR1WnrVq1So1btxY0n9JkBUrVtSBAwesMpMnT1bPnj0TLZewpemMfLcmvCfOjd1i0Y2bc9HN2O0hcdr1qFBx+wYMGKA+ffpo4sSJGj16tEJCQqwumocNG6bVq1dr7ty5Cg4OdnWoeYK/v7/+97//6X//+5/OnTunmTNnasqUKVbSs5+fn9544w0XR5m3eXp6KiAgQM8++6weeeSRJN/lAPI2kszgUCdPnnRoOQAAcpLXXnstU8vt27dPO3fulCSrNt3hw4f10ksv6b333tM777yjTp065apksxEjRsjHx0fe3t7y8PCwknXc3Nysj73J84Q1gOPj42Wz2RQXF6fY2FjFxMQoIiJC4eHhCgkJ0alTp3TkyBEdP35c0dHRiRLZdu/erd27d+vNN99Uhw4d9Oabb6pcuXKuOgRO89RTT6W7rD0JyjRNmaapQoUKacqUKele3jAMPfroozIMw3oxYU+MsidW5TYcX+Q2U6dO1bVr1zRw4EBt2rRJknTp0iVr/jfffGN9T3t6esrHx0eBgYHWx95S36lTpzR8+HDre7dAgQL6/PPP9fzzz2f9TgHJcHd3V61atVSrVi2NHDlSmzdv1oQJE6yWUO2tGUg3v3/r1q2r5cuXJ9ttG5AakqEcLywsTBMmTLDuCzZs2KBq1arplVde0YgRI1wdHrJAwvs6f39/F0biHHTjlrvkpm7GSJzOnqhQkTleXl56/fXX9dJLL6lv375Wa46maWrz5s16+umn9ddff7k6zDynZMmSGjJkiN566y3NmjVLY8aM0cMPP6ygoCBXh5an9ezZUx07dlRAQICrQwGQDZFkBgAA4GJVqlTRr7/+qlmzZmnRokUKCwuzHnKcOHFC3bp10/vvv6/PPvtMTZs2dXW4DjFkyBCnrt80Te3atUurV6/W6tWrtXXrVqvGVXR0tKZPn66ZM2eqdevWmjNnToq1cnO7hK3pxcbGZvg4VKxYUZs3b040LaUuIvMiji9yipo1a+rXX3/V8uXLNXjwYOslp2maevHFF9NcPmEysIeHh7p27aqRI0fm6lYjkXW2bt2qSpUqObybq2rVqlkt+f37779JunQaMmQICWbIMJKhnOPPP/+Un5+frl27Junm705cXJwmTZqkb775huT7PMB+DSwpV77spBu33Ce3dDNG4nTOQYWK9CtYsKDmzZun1q1bq3v37rp69aoMw3B4y1nR0dEOXV9u5+npqW7duqlr1666fPmyq8PJUWbMmCFPT095eXkl+dfew4q94nZUVJTVE8NLL72U4jp79+6dhXsAIKchyQwAACAbqFu3rurWravx48dr+vTpmjhxoo4fP54o2Sw3Pkx3FsMw9PDDD+vhhx/WkCFDdPz4cU2YMEGzZs3S9evXJd2s5RkZGZlnE8ykxC9rMpMElRz7S77w8PDbXldOx/FFTtO0aVM1adJEvXr10uTJkxMlj6XG3uqkdPOFWnBwsHx9fZ0dLvKIQYMGaf/+/XrzzTfVt29f+fn53db69uzZozlz5ujrr79WSEiINd1+rtvP+zZt2mj16tWqWbPmbW0PeQvJUM5Rp04dnT59WuvXr9fs2bO1ZMkShYeHyzRN68UwnOONN96Qm5ubfH19rfNakubOnatt27ZJuvm9Kt3svi1hMuWuXbus4ffffz/JtfCqVasSfQ+nNj3hdXVmuvXO7ujGLffJDd2MkTidNahQ4TqtWrVStWrV1Lp1a3l4eKSacJMZ27dvd+j6spvUutK9HW5ubipatKjD15ubvfzyy5m6Hnb0OQ8g7yDJDAAAIBvJly+fXnvtNfXt21fTp0/XiBEjdO7cOT3zzDOqX7++q8PLscqUKaPPPvtMo0eP1ogRI/TZZ58pLi4uzz8YTfiyxlEvPe3dOpIExfFF9rJ7926VKVNGBQoUSLWcYRgqW7asNd67d2+FhoYqNDRUISEh1nBoaKiuX79uvTAzTVOGYSg0NFRDhgzR5MmTNW3aND3xxBNO3S/kbtevX9fWrVsVFxenwYMH6+OPP9brr7+uXr16ZSj5fseOHVqxYoUWLVqkgwcPSlKSBMoaNWqoXLlymjdvngzD0PXr1/XMM89o+/btif4mgNSQDOU8hmGoYcOGatiwocLCwjR16lR9/vnnOnnypKtDy9XmzZunf//9N9E00zQ1b968JGWvXLmi9957L8l00zT1wQcfJJlmb3U6PdMTuuOOOzKyCzkG3bjlLrmhmzESp7MGFSpcq3Tp0vrtt990/vz5ZOdHRERo48aNGVqnaZo6evSoRo0aZY3nxJYM09KkSRNt3bpVxYoVU2BgoLy9veXj45Ol17vpqRSXl9ify6RVRhL3JQBuC0lmAIAsZX+pYxcTE6Nu3brJx8cn0cfu1pqwQF7h5uambt266YUXXtCbb76p5s2buzqkXMHf318fffSROnbsqM8++0z333+/q0NyqVtb2nKEJk2aJOomMi/j+CI7GTRokI4cOaK5c+eqdu3a6V5u4sSJqc7v0qWLZs2apYIFC+qOO+6wXn6ePn1aTz/9tMaMGaP+/fvfVuzIuxYuXKjY2FjrZdjly5c1ePBgffTRRyl232Gz2bRlyxbt2LFDO3bs0K+//pqou5WELyICAwPVtm1b9ejRQw8++KAk6a677tKHH34owzB07do1NWvWTNu3b1f+/Pmdu7PINUiGcr6AgAANGDBA/fr105IlS9StW7dkW8TC7TNNM9kXuOmdlpnyab0wLl26dKrzczq6cct6dDOWPBKnnY8KFdmDt7e37r777mTnnTlzRo8//nim1pswmSel9ed0EREROnHihEu+D9Lb8npewzEBkBVIMgMAON3ly5c1Z84czZ07V3/++WeiebGxsfr666+T3IjYx1OqCctNBPIKf39/TZo0ydVh5Dr33Xefpk6d6uowXG7YsGEaNmyYQ9dpGEaurKGZGRxfZBf79u3TunXrZJqm6tevry5dujhs3e7u7pKkokWLat++ffrmm2/Ur18/Xb58WTabTW+88YauX7+ud99912HbRN4RGRmpChUq6O+//040PSQkRO+//741nrAljcjISD322GNJugSy8/Ly0hNPPKEXX3xRLVu2TFTBRbrZpZubm5vef/99GYahw4cPq3379vrxxx8dvXvIA0iGci43Nze1bt1aQ4YMsY7rpUuXEv3dJ0zOT+88e8uxkhQfH2/Ns9lsiouLU2xsrKKionTjxg3VqFHDWbuXLaxYsUL+/v7y8fHRkSNH1LhxYxmGodGjR+vhhx+WJH3yySdauXKlgoODNX36dGvZZcuWaeLEiTIMQ0uWLJG/v7/i4+P15JNPyjAM9ejRQ61atZJ087vavu6E0+1WrlypTz75RJJUrly5LNp716Ibt6xDN2MpI3HauahQkbslfH/RtWtXF0fjHCndc2XltvGfihUr6sCBA6mWuffee5PcXwNARpFkBgBwmtDQUHXr1k3Lli1TbGxsmjcbGbkZ4SYCAAAgfUaOHGl1mxAfH5/oBbCjPf/883r88cfVvHlz7dq1S6ZpasSIESpWrJh69OjhtO0id+rTp4/69Omjc+fOaenSpVq8eLF+/fVXSYm7Atm+fbvq1aunkSNHqn79+ipQoIDVtZMkBQUF6cknn1SzZs3UpEkTBQYGprrdUaNG6ejRo/ruu+8k3UyymDBhgl599VUn7SlyO5KhnM/+fVC8ePFk55ummeF5pmnq0qVLKS5n7zouN6tWrZo1fOnSJWu4cuXKatiwoSTp22+/lST5+flZ0yTpjz/+sIZr1aqlokWLJjped999t1U+4blcpkyZROuRpPnz51vDlSpVup1dylHoxi1r0c1Y6kicdjwqVGR/t5M85e/vr3LlyumNN95QkyZNHBhV9uDp6alixYqpcOHCKliwoNVDjaenZ5Zsf/HixVmyHVdJeO4lvE4CgOyAJDMAgNMEBgZqz549iomJkWEYybY+ZhiG7rjjDuXPn18BAQHy8PCQh4eH1SpGSuwvlwAAAJC6mTNnqnHjxpo2bZp27NiR6AVar169NH36dJUqVcph2ytevLg2btyoJk2a6JdffpFpmurXr58eeOAB1apVy2HbQd5RsmRJ9e7dW71799bp06c1a9YsTZ8+XWfOnJF0855i8+bNatCggRo1aiRfX1+VLVtWjRo10lNPPaVHHnkkzfuLW82YMUMHDhzQX3/9JdM09fbbb6tBgwaqXLmyM3YReQjJUM6V0S4b05qX3PS82rJ6wq7go6Ki0iwfHh5uDd+4cUNFixZN1IV8TEyMNZzw/EzuXF27dq2km0nDub27zFvRjVvWyot/2xlF4rTjUKHCeUaPHq29e/eqcOHCypcvn3x8fDJ8PyClr2WovGrFihUu3b6bm1uuTviNj4+3hkkyA5DdkGQGAHCqF198USNGjLBqRjZo0EArV6605vv5+encuXMZXm9uv4kA7MLCwhQQEODqMAAAOZi/v79efvllvfzyy9q0aZPefvttbd26VYZh6JdfflGVKlX06aefJtuFh2mamXop7+Pjox9//FENGzbUjh07FBMToxdeeEH79u2Tv7+/w/YNeU9wcLCGDRumIUOGaMmSJZowYYI2bdok6eb5aE9EePjhh9WuXbtMJ4X5+flp8eLFuv/++xUdHa2oqCh16tRJO3fulJubm8P2B3kXyVA5V149pgmTzMLCwtIsnzDJ7NSpUypTpkySxDO7hElrtyaw7dmzR2fPnpVhGCSrO1Be6MYto+hmLONInHYMKlQ43tGjR7Vw4cJMvz/gGgquljCxjCQzANkNT8UAAE711FNPqVq1apoyZYr+/fdf/fTTT64OCchR+vbtqw8//NDVYbjcn3/+qenTp2vRokVau3attm3bpqNHj7o6rFzj0qVLeuGFF/TCCy+oQ4cOGVp23rx5atCggaZMmaLr1687KUIAjlK3bl1t2bJFS5Ys0d133y3TNHXjxg11795dbdu2TfLS2MPDQ56enil+Zs6cmeK27Ek6RYoUkWEYOnXqlN5++21n7yLyCHsrGr/++qu2bNmiZs2aJXoZtGzZMj344IPq3r27rly5kqltlCtXTm+99Za1zj/++ENjx4512D4AzpaXXo7a9zU+Pj7Rx548Y+8yOj3z7C1sGYah4sWLy2azKTY2VpGRkbp27ZrOnTun/fv3a/Xq1a7ZWRcJDg7WW2+9pYEDBybqstKefJYwgUyS2rZtq6+//lpz5sxRmTJlJP2XWGaaZqJrjoQJbAmTz6T/uuOUpCeffNJBe5M72CsDZObj5+enBx54QF9//XWu7MaNbsayVnLnWGbmpbVMWhVgcgN7hYoTJ05o4cKFqlu3bqL9X7t2rS5cuKASJUqoXbt2qlOnTqZa6LLfq3l7e8swDKtCRcLWkwC4TsLWXxMOA0B2QEtmcKg5c+ZYwx06dKCVIQCqVauWdu3a5eowgBzpxIkTmj9/vmw2m0JDQzV8+HB5e3u7OiyX2LBhgwYMGJBk+p133qmFCxfmmq4SXOnbb7+VYRhpdqtwqy+++ELbtm3Tr7/+qrfffluvvvqq3nzzzVzdUlF8fDyt2CDHa9GihZ544gn1799f06ZNk2maWrx4sfbu3av69etb5W73JU6JEiU0e/ZsPf3005KkL7/8Ut26dVPVqlVva725waBBg9ShQ4dEL+qROY888oh++OEH/f777xoyZIjVcrLNZtP06dOt7ofq1q2b4XUPGjRI8+bN07Fjx2SapkaMGKE2bdronnvucfRuII+wd39160vcbt26afr06TIMI0lCRErz4uLi5OXlJcMwVKxYMZ07d07x8fGKi4tTVFSUIiIidO3aNZ0/fz5L9i0r2Ww2nT9/XnfddZfD133r80zDMOTu7i53d3d5e3srMDBQd9xxR577/q5UqZI++OCDJNPt3eXZ/7WrXr26qlevnmha6dKlrRelCa+nbTabKlWqJMMwFBQUZE2/dOmSpk6dKulmt5EvvPCCA/bE9ejGzfnoZiz3ye3JZbeyV6ho3bq1tm7dqg8//FDLly+3riOWLVum5cuX66WXXtIHH3ygQoUKZXgb9goV7733nqT/KlS89dZbjt4dl3Fzc7O+Yz08PNL9zjKzlVQAR0nYsmvCboYBIDsgyQwO1blzZ+sirV27dvLy8nJxRAAAOF7Pnj1VtWpVtWjRQiVKlHDadgYPHmx1ATBmzBiFhIToyy+/dNr2slpISIhCQ0Pl7+8vf39/+fr6Kj4+XtHR0QoJCZGfn1+ihKfkHiieOXNG3bp1059//pmhbW/ZskUlS5ZU6dKlb3c3cgVfX19JN49xRpLDli9frm3btlktx4SEhGjkyJFavHixtmzZovz58zsrZJfy9PSUYRjy9vaWl5eXvLy85O3tLQ8P595eubu7q3DhwqpTp47eeustFS5c2KnbQ+7n7++vKVOmqEWLFurUqZOuXbumw4cP68iRI/Lx8VGFChXk7++f6sP4v//+WxcvXkx1O08++aSeffZZLVmyRKZp6o033tCaNWucsUs5ykcffaQxY8aoatWq6tChg55//nndcccdrg4rR3vwwQf1008/adOmTXrttdf0xx9/yDRNRUdHq1SpUplap5eXl0aNGqV27drJMAzdfffd8vT0dHDkyM1IhnK8lStXasCAASpatKh+/fVXV4eTp2zbtk01atRIlCA2ePBgde/ePcn5eOPGDTVq1Eh33HGH7rjjDhUvXjzR5+6777auZ++8807t378/yfZ69uyp0NBQGYah/v3755rrX7pxcz66GcsaJE5nDSpUZNykSZP01VdfZbqyrpubG41opGHv3r2Kj49XUFCQAgIClC9fvjxbOdoZ7IllpmkmavEVALIDkszgcPYbCwAAcqsNGzZoypQp6tu3rx566CG1bNlSzZo103333eewbfz6669asGCB9fA4ICBAQ4YMcdj6s4PZs2cn2zqZ3aeffqpXX3010TTDMFSxYkWdOXPG6kZl//79+vPPP3X//fene9sDBgzQsWPHNGfOHD3zzDOZ24FcxP4QyDCMdFcSuHLlitXFkP0Fh/18PXDggD788EO9//77zgnYxexddERGRmZ5bcJjx45px44dWrFihfbu3ZupFg+AWzVp0kRbtmzR008/rZMnT8o0TcXFxemLL77Qo48+muqyXbt21cyZM9N8eTdmzBj98MMPio+P17p16/Trr78majEtL9u7d6/efPNNvfXWW3r88cfVoUMHtWrVKle3COlsdevW1e7du/Xll19q0KBBGjZsmIKDgzO9vjZt2qh06dKKjo7WunXrVKxYMQdGi9yMZCjH+vfff9WrVy8rafnw4cMc1yz26KOPKigoSI0bN1bz5s3VtGlT1a5dO9myNptN27dvT/U5cWBgoCpUqKCKFSuqXr16atCggZUUPG7cOH3//fcyDEOVK1fWsGHDnLJPyJ3oZsw5SJx2LSpUpJ+9MuXtOnz4sAoWLGhVkC1cuLDuv/9+VatWTTVq1FCVKlUcsp2c6PXXX9f69euTTPf29pa7u3uWvCfOzQnXHh4eatGihSTl2kq8AHIukswAADna5cuXNWLEiDTL7dq1K1G5Pn36qGDBgs4MDbmcPclk586d2rlzp9555x0FBwerWbNmatOmjerVq5fpdUdEROiVV16xtmMYhj744AOVLFnSUeFnGyk9DEjtQcRff/2lmJgYPfHEE9q8ebMkafXq1elOMvvll1+0c+dOSVKzZs00ePBgjRw5MoOR5wxnz57V9OnT9e6776ZaLmELXOl9mFioUCGdOXNGJ06c0N69e/Xzzz9r9uzZ1gP8DRs2ZDrunMAVrQfY/y5M09ShQ4e0YcMGNWzYMEtjQO5VoUIFbdu2TU2bNtWuXbvUtWvXNBPMpP9q16ZVs/aee+5Ry5Yt9f3330u62U1UXk8yu+uuu3TmzBlr3Gazad26dVq3bp169uyp5s2bq0OHDnryySfpojcTDMNQr1691Lx589tuIc7NzU0DBgxQmTJlSDBDupAM5XgrV65U586ddfnyZesazDRN/fDDDy6OLO8JDQ3VwoULtXDhQnl6euqxxx5TixYtUm3pO6Xr5pCQEG3fvl07duzQnDlzJN3sUrN69erWNUPhwoW1ePHiXNk6Ct24OQ/djDkeidPZBxUqsk58fLxCQkIUEhIiwzB05MgRbd261Zp/33336aWXXlKHDh1yTWubGZHc73vC719nyu2tehYvXlxLlixxdRgAkCySzAAAOdqVK1f03nvvpTjf/oBu9+7d2r17tzW9Xbt2JJnhtiRM9rDf1J46dUpffPGFvvjiCxUvXlwzZszQk08+meF19+nTR4cPH7a28fjjj6tnz54OjT87ycxDAS8vL9WqVUubN2+WaZo6duxYupcdM2ZMovGc3gVAaj7//HONHTtWhw4d0tSpU5UvX75kyyV8mZGRmoZeXl6qUKGCKlSooP/973+qVauWunbtKsMwFBoaetvxZ3d33nmnnnvuuSzZVkxMjNavX6+//vrLmvbLL7+QZAaHeeyxx3T+/HlFR0erffv2Gj9+fKL5a9as0R9//KGrV6/qww8/tKaHhYUl+jc1ffr00ffffy/TNHXx4kWFh4fn6da6Tp06pY0bN+rrr7/W4sWLFRISYl1XREREaMGCBVqwYIGKFCmidu3aqX379nr44YddHXaWunHjhr788kvlz59ffn5+8vDwyPIWHOPi4hQXFyd3d3cdOXJEH3zwgQYNGpSlMSBnIRnK8U6fPq0WLVrIZrNZx7R+/fr64IMPVKtWLavbMGQd+/9DTEyM1q5dq7Vr16pPnz6qVq2amjZtqmbNmqlMmTJW+bFjx+qZZ57R5cuXrc+FCxd04MABHTx4UIcPH1Z0dLQk6cSJE1bLqoZhqGXLlrr77rtdsp/OQjduzkc3Y45D4nT2RIWKrJfw2aX9Web+/fv1xhtvaPjw4Xrvvff06quv5qkKQgl/i3JzwldOkZ4GGS5fvpxF0QDIzUgyAwDkaJm5eeFBHBwh4QPv9evX6/r164nmXbx4MVNNWc+YMUOzZs2yHlYUL15c8+fPd2To2dIvv/wi6eaxa9CgQbqWCQoKUo0aNXTPPfeoZMmSSW6iY2NjFR0drRs3bqhKlSrq2bOnDh48qNWrV1vHt0KFCurUqZPD9yc7uHTpkr788ktJ0nfffaddu3Zp9uzZabZMdDvfkS1btkzShWZuVrp0aY0dOzbLthcdHa2CBQtatUJ37NiRZdtG7nf58mUdPXpU+fPn19dff51k/syZM/Xdd99Jkp544gk98cQTkm7Wen/ooYfS9SC9fv36Klq0qJ577jl9/PHHiVpRzKvq1aunevXq6YsvvtCPP/6ouXPnauXKlYqJibG+R//9919NnDhREydOVLly5dShQwe98MILue6Fe3JCQ0P11ltvZbvrd5LMkBKSoZwjODhYffv21aeffqoSJUpo4sSJevbZZ10dVp721FNP6YknntAvv/yiTZs2WffDe/bs0Z49ezRixIhELbq4u7vr3nvvTXZdISEh+umnnzRx4kTt2LEjSSWkadOmacuWLZo7d64eeOABp+5XVqEbN+ejmzHHIHHauahQkT0sXbpUv//+e7IV2e+880599NFHunz5si5duqTTp09r69atOnLkSKJyYWFhev3116375goVKmRV+C5jmqbc3NxUuHBhFStWTIULF5aPj498fX3l6+vr9HN59uzZTl1/TpRWgwwA4Cg80YXTZLeHwAByl8cee0ze3t7y8vKSl5eXPD09rWEvLy9JN5uzjouLk81mU0xMjGJiYhQZGamoqKg83WoGHOv7779XXFycNm7cqKVLl2rp0qU6e/as3NzcVL169Qyta/369erZs6f1UN3d3V3z5s1T0aJFnRR99pGZLtMGDhyoe+65R88//3ya1x3PPfecevbsqc8++0zSf0mCI0eOzLXXLMOGDVNYWJi1f8eOHVP9+vXVv39/jRo1yvqudKQCBQo4fJ34j7e3t4oWLarTp09Lkv78808XR4TcxH5tlNJLuLFjx2rZsmWKiorS0KFDrSSzjCTqGoahRYsWqU6dOrcfcC7j5eWl1q1bq3Xr1rp27Zq+/fZbzZs3T7/99puk/xJ3jxw5omHDhmnYsGF65JFH1KFDB7Vt2zbXf/9mp8Tl3HrdAMcgGcp5Ro0apaioKL3//vsKDAx0dTh5ks1ms4aLFCmiAQMGaMCAAYqPj9emTZu0aNEiLVmyROfPn5d0s9KL3cmTJxOta+LEifrll1908OBBHTt2LNG6TdNU7dq19fDDD+vzzz9XXFycDhw4oFq1amnSpEnq0qWLc3c0B6Ebt5TRzdjtI3Ha+ahQ4VqnT59Wz549tWrVKnl4eKhTp06JWuGUpHz58un5559Psuzly5e1cuVKff7559q5c6f1LHffvn2qXbu2li9frlq1amXVrrjEkiVLlC9fPpedv7Nnz852fzvOcuTIER06dEjNmjVLtVx2um8GkLuRZAaHs/+oly9f3uk/8IZhZKh7LAC5x/r1610dAmDx8PBQgwYN1KBBA02YMEHbtm3Thg0bMpTE8+eff6p169aKi4uzEqC++OILPf74406MPGdL2AJOem6ir127prlz51rXJ1WrVlXr1q2dFp+r9evXTx4eHpoxY4YiIyNlGIZsNps+/vhjrVy5Ut98840qV67s6jCRQT4+Ptb5fuXKFV29epXun+EQ9t+slLptuvPOO/XKK6/os88+044dO/TDDz9YrUNkBAlmaStQoIB69uypnj176uTJk/r66681b948HT58ONHv3datW7V161b169fP6hIqt/Hx8VGjRo2s2vC+vr7y8/NzyLOGhQsX6tKlSypbtqwaN26cbBnTNBUbGyubzabIyEiFh4fn2i63ErYkaxiG1q1bl2a525HaNnI6kqGcw9fXV1988UWa5W5t3XjPnj3pmoe02VvTvXXYzc1N9evXV/369TVx4kStWbNGY8aM0fr1663v6y1btiRa165du6yWkOy/bYZh6Mknn1Tfvn31zDPPSJI6dOigNm3a6MSJE4qJiVG3bt107tw5DR061Kn7mhPRjdvto5uxxEiczjrZKTEkryTtTJgwQe+8844iIiJkmqbi4uLUr18/LVu2LF3LFy5cWB06dFCHDh20ZcsWdevWTYcOHZJhGLp69aoaNmyo5cuX5+rnugEBAa4OIU/YsmWLWrRoIcMwdODAARUpUiRJmQYNGiS6Z/b09JS7u7vc3d3l5uammJgYRUdHKzo6OtEwAGQWSWZwCtM0derUKadvJ69c8AIAcpZatWplqLbarl279PTTTys0NNT6bRs1apS6d+/urBBzHcMwVKtWrRQT++69914r2cpefvjw4VkYYdarUKGCJk6cqLfffluDBg2yEuxM09Rff/2lGjVq6KOPPlLfvn1dHSoywMfHR507d1anTp1Us2ZN+fj4uDok5AA1atSQp6enihUrJl9f32QTyY4ePSrp5ouzlFoISfhSrV+/fhnqJscwDAUGBqpu3bq8nMqA0qVLa+jQoRo6dKh27typuXPnauLEidb1gmmaiomJcXGUzlOoUCGtXr3aKev+999/tXDhQkk3W9TJ6zZs2GBdJ6T2rMVe7naktY2cjmQo17CfU8l1EZTaPKRfaGiopJt/w/buMZPTuHFjNW7cWLNnz1b37t0VGxsrf39/xcbGytPTU5JUu3Ztff3118qfP78eeeQRNWnSRM2bN1dwcLCkm0lsPj4+evDBB7Vz5041a9ZMW7dulWmaGj58uEqVKqWOHTs6f6ezAbpxyzp0M5YUidPORYWKrHfy5El16tRJmzdvTpTkbJqmNm/erKNHj6ps2bIZWmft2rW1e/du9enTRzNnzpRhGIqMjFTbtm21Z88e3XXXXc7YlVwnJiZGy5cv1/z589WxY0c1b97c1SG53LfffqsuXbooKipKhmHo1Vdf1TfffJOk3M8//+yC6ADkZSSZwWmc/cAwO9XuAJA5Bw8e1MiRIyXd/M5I+HFzc5NhGFaNCw8PD3l4eMjLy0ve3t4KCAhQkSJFrA8POpBTzZo1S71797ZuFiXpo48+0ptvvuniyHKeJUuWpNi1qGmaKlu2rPXgqEqVKplqgScnKlmypObMmaMOHTqoa9euOnv2rAzDUFRUlJYtW0aSWQ6zdOlSlSpVytVhIIe5cOGC1XVVWq5fv67Zs2enON/+W3Xq1KlUy6Vk/Pjx6tSpk2bMmJHhZfOyGzdu6MCBA/rrr79cHUquUaVKFS1cuFBHjx7VmTNnePmj9D9n4XnM7SEZyjk4L50vKChIP/74oySl2PViTEyM/vjjD0lSzZo1NX/+fJUqVUoPPfRQonLPPfecHnvsMZUvXz7R9KioKL300ksKDQ3VTz/9JMMwVLBgQa1atUqPP/649uzZo0cffVT/+9//HL+D2QzduDkO3YxlHonTzkWFiqw1a9Ys9evXT2FhYValB/u/PXr00KhRo1SgQIFMrdvX11fTp0+XYRiaMWOGDMPQlStX1Lp1a23evDlDvV3kNevXr9e8efP0/fffW0nshQsXztNJZqZpavDgwRozZkySczU+Pp5WSQG4HElmcArDMHTXXXfl6pqpAG7fgQMHHNaSUL58+XTvvfeqUqVKqlSpkqpXr67atWtzA4dsa//+/Xrrrbe0atUqSTdvHv38/DR37ly1bNnStcHlQj/99JNOnDgh6eZ1yuuvv+7iiLJeo0aNtH//fr300ktasmSJPDw89Omnnzp0G1evXnXo+nK6evXqydPTU15eXkn+dXd3l81mU3x8vGw2m6KiohQZGanIyEht2LAhxXWSYIbMckbySGZfxM2ePVuvv/667rvvvkwtn1fYbDatWrVKc+fO1bJly6yuyRK2YibxvZBZCbuMXr16tV5++WUXRuN67777rkPLIWUkMTjeI488orJly8rHx8e63rJXWLNXYjNN0/rExcXJZrNZXQWFh4enuO74+Pgs3JPszc/PT02aNJFpmipdurRM01SdOnU0f/58q0xkZKRq1aolwzD0xBNPJEmeWLRokaZMmSLDMPTJJ58kmvfXX3+pdevWVitc/fv312effSbpZpdcixcvVseOHfXjjz/K19fXuTvrYnTj5jh0M+ZcJE5nX1SoSGrKlCm6fv26VcndNE3de++9mjlzpmrUqOGQbUyePFmnTp2yuoXfvXu3xo4dq3feecch688t/vzzT82dO1fffPONLly4ICnxNfLixYs1fvz4ZFthz+2uXr2qF154QWvXrrWOia+vr7788kt16NDBxdEBwE0kmcHh7NnUhw8fJrkDQKoc+XA9LCxMO3fu1M6dO61pPj4+ql27tp544gm1bNkySQ1ZwBlOnjyp0qVLJzsvLCxMS5cu1YwZM7Rx40ZJ//0dNGzYUJMnT05SMxmO8fnnn1vDxYoVS7a2d16QP39+LV68WB999JEuXryY6AW7I9AyUWKbN2/OUKWL3N59GFznm2++kaenp/Lly2e1Dnur9u3ba8eOHSpTpkyatenfeOMN/fDDDzIMQ1OmTNFjjz2WZgwhISEaMGCANm3aJOlm65MkmSVv+/btmjt3rhYsWKArV65IUqLay9LN1mTatGmjF198UfXq1XNluDlWlSpVrOEVK1aQZEaSWZYgGco5HH0NmvBZBUmBSdlbZ7FXkEgoMDBQfn5+ioyMVEBAQJJlL126pJ9//lmGYSguLi7RvIoVK6pOnTo6fPiwpJst7xQrVkyDBg2SdDOp+tdff3XSXmUPdOPmWHQz5nx8R2ZfVKhI6tNPP9Wjjz5qjQ8YMECjR49ONZEpo+e4u7u7pk2bpvvuu0+RkZEyTVNjxoxRt27dUux9Ia+4cOGC5s6dqzlz5ujAgQOSlOi3LmFlqitXrmjlypV5siJ2WFiYtm/fbo0HBwdr+fLlDn+GCwC3gyQzAECWK1mypPz9/eXn5yc/Pz95e3vL29vbatnFXlPQ/mA9JiZGN27c0I0bNxQeHq4bN24oNDRUISEhidZ76wO4yMhIrVu3TuvWrdOgQYNUt25dvfLKK2rdujVJsHCKmJgY3XPPPbrrrrv0wAMPKDg4WD4+Prp8+bJ2796tAwcOWC9/7OfrPffco3fffVcvvviiK0PPMu3atVNISIgCAgJ0+vRpa3qXLl2SlJ0/f77V1Yr94cOtZe2tk6Xm6NGjWrt2rfWwomvXrskmWOQlb731VorzLly4kOz/R2pM09TRo0f122+/Wcc5s10M5EY8eIer1alTJ80yPj4+kiQPDw/dc889qZYdNGiQfvjhB0k3a2p37do1XXF07drVSjLbvHlzupbJK44dO6a5c+dq3rx5OnbsmKSk3x2enp565pln9OKLL6pp06Z5+nr26tWrMk1ThQoVyvQ6ypQpIz8/P0VEROjnn39WTExMnj6myBokQ+UMsbGxkm4eU/twXrZq1So98MADKl68uDXN399fkZGR8vPzS1K+aNGiOnXqVLLz/P39reF8+fIlmmd/MR8fH69Zs2bJNE0NGTJEAQEB6tOnjwP3KHuiGzfHoZuxrEHidPZGhYqkatasqfbt22vdunWaPXu2nnjiiTSXycz1ValSpTRo0CANHTpUhmHoxo0bGj58uCZNmpSZsHO06OhoLVmyRLNmzdK6desUHx+fJLHM/h1hGIYeeeQRtWrVSs8++6zuvvvuFNeb8Pl6brtWK1WqlGbMmKHWrVurcuXKWr16te644w5r/tWrVzV+/HgFBAQoX7588vLyypLn3B07dnT6NgDkHHn77RoAwCXOnDnjkPVERETo1KlTOn36tE6fPq1jx45p586d2r17t65fv26Vs9+4bNy4UZs2bdI333yT7i4GgIw4c+aMTNPUmTNnkpzntz6UCA4O1gcffKDnnnsuTz3g3L17t44fP55ommmamj17dpJpt7ZOmFLZtFy5ckUlSpTQuXPn5O7uru7du2cu+Dzi+vXrGT7Gdglb4qpataojw8rRAgMD06x9uWTJkkS/XUBWs7cmcmurIsmpUaOGatWqpW3btmn37t365ptv0tVCpL1FE9M0tXfv3tsLOBe4cuWKvv32W82dO1c7duyQlPR6wTAM1a5dWy+++KLatm2roKAgF0Sa/cycOVMDBw6Uu7u78ufPLz8/v0w9WI+JiZEkhYeHa82aNWratKmjQwWcimQo50jYPbF9OK+Ki4vTyy+/rLCwML377rt69dVX5eHhIU9PT0lKtvUXe3JZcolLCRPPUmo5Ztq0abpw4YJWr14t0zT12muvKTo6Wq+//rojdinbohs3x6CbsaxD4rTzUKHCecaNGyd3d/dUj23CJMfMJjz2799fY8eOtRKHZ86cqVGjRqlgwYKZWl9OtGjRInXv3l2hoaGSEjcQYB83DEN16tRR27Zt1aZNm0QJ7alJeH2WG6/Vnn32WU2cOFFt27ZN0s3ztWvXNHLkyCzvCYEkMwAJkWSG/2PvruOi2N4/gH+G7rDBQFFQ8NqiXru7xbg2ioGF3V67xcK6iN0iip2IhZ1YgI0tEpILLHt+f/Db+e6SC+yyy+7zfr14uezMzpw5LrszZ57zPIQQUmgZGRnBwcEBDg4OUs+npqbixo0b8PX1xcGDBxEdHc0P0BUvXhzbtm1TUotJYRMeHp7hQi47L1684B9ndpNY0pcvX3DgwAGULFkSLVu2zF9DC5nMBgtlfS6757NSv359hISEYOHChXj16pValwORh/wO5oo/a9XpRkVWZB1stLKywq5du7Jd5+7duxRkRpRKHGwja5DCqFGjcPfuXTDGMGPGDHTt2lUqO0lmxH8z1atXR4cOHfLXYDVgZWWF1NRUABk/ex0cHDBgwAAMHDgQ5cqVU0bzVJ44I0ZkZCSioqLyvb39+/dTkBkpdCgYSjFiY2MBpH3OJCUlaXRJ80OHDuHbt2/gOA7Tpk3D1q1bsXTpUmhrawMAH2wmSV9fH4wx7N69G3v37pVaJvl9Z2trm+V+JfucMYbp06cjKioKS5YskcdhqSQq4yYfVGas8KLA6f+hCRWKI8tnneTEq7y+F42MjDBw4EA+e1lycjL279+PCRMm5Gl7hVG1atX4+zIApLKW1axZEwMHDkTfvn1RunTpXG87Li6OfywSiZCUlJTt92VhNHbsWGU3AQA0+jyYEJI1CjIjckdfNoQQZdPW1kaLFi3QokULrFq1Cjt37sSyZcvw8+dPLF++HNbW1spuIikEhEIhqlWrhoEDB2LGjBkyBZtFRESgWbNmMDAwgK6uLhhjiImJwefPnxEWFpYhIOX8+fM4f/48mjdvjo0bN6Jq1aqKOhyVsWvXLnAcB2NjY/j4+GD58uXgOI7PLsgYQ9euXcFxHEaMGIEuXboAAE6dOoXt27dLrQsAN2/exKpVq6T2sWjRInz//h0TJ05E5cqVAaQN7qxcuVKmDD2F1a9fv2BqagpDQ8N8bUeWrFtZMTExgZ2dHQYPHqy22XbkMaOVEFUkDk5ITEyUaf0+ffrA3d0dsbGx+PLlC7y9veHu7p7ta8qUKYOLFy+iTZs2+W6vOhAKhfxAOwCUKlUK/fr1w8CBA1G7dm0lt65wyU+AtPj/4MSJE/j48SPKly8vv4YRomAUDKUYRYoUwYkTJ/jfNblfL1y4AOB/ffDu3Tup7KWZ9YtAIODLEmZ1viwOFM6JZFav5cuX4/v379ixY0cej0a1URk3+aAyY4UXBU5LowkVyiMZWCYO1MuLUaNGYcuWLfx35Y4dOzQqyKxy5cpo2bIlrl69CiAtwG/gwIFwcXHJ9xi4ODua5O/qEiwtK03P+EgIUS4KMiNyp8kDL4QQ1WNkZIRx48bBxcUF3t7ecHFxUXaTSCFx+fJl/Pr1C+vWrcO2bdvg4uKCyZMno0KFClm+ZtiwYRg2bFimyxISEhAUFAR/f3+cPHkSjx494i8Gr127hlq1amHGjBlYtGiRWn+PNm7cmH98/fp1/nGnTp0yrOvo6Mg///bt20zXlZy5JhYYGIgrV65g+/btaNeuHSZNmsQP0BfE4LGyzJgxA3v37oWBgQFMTExgYGDAZxiQFWNMpqxbmkzyRpk4AxEh6kCcSS8+Pl6m9Q0NDeHs7IwLFy7A09MTPXr0yPE19evXz1cb1ZGxsTG6d++OgQMHonXr1hpVQjs/OnbsiDJlysDQ0JD/ySybTlYYY/j16xeOHDmCQ4cOwdDQEAsWLICNjY0CW02I/FEwlGKYmJigW7duym6GSjhw4ADc3d2xdetWHD16lM9+JX6fhYaGQiAQwMDAgH+N+FyiRIkSGTKX/vnzB35+fuA4Dq1atco2e4lQKMSDBw8QGhoKIO3/pV+/fvI+RJVCZdzkg8qMFU4UOJ01mlBRsMQTrxhjSEhIyPN2qlWrhtKlS+Pbt29gjMHS0jLDd6a6c3Nzg1AoxNixY9GjRw+5jcuKAy/FnxHR0dEaE2RWtmxZBAUFwcTEBMbGxtDR0YG2tnaux4CzIhKJkJqaitTUVAgEAiQkJMg8GZEQojnU9y4bUQrJG5K5GeAlhBBFMzY2zjG7BiGSVq9ezV+oJiQkYMuWLdi2bRs6d+6cpxmERkZGaNCgARo0aIA5c+YgODgYS5cuxeHDh5GamgqhUIhly5bh7t27OHz4cLaDyiRrKSkpuHv3LoC0i+ILFy7gwoULaNq0KTw8PNQ+MwxjDImJiXm6+JfMpkOyJhlYRkFmRJ34+/vzmbVkNWvWLKxZs0ZtMxcq2v79+9GjR498Z6DURA4ODnBwcMj3drp27YrmzZujRYsWqFSpkhxaRkjBomAoUhDq1auHevXqwcPDA8uWLcOWLVv4bGXXr19HrVq1cODAAf5aKz4+PsvJKy9evICfnx8AwN3dPdPJRukdO3YMs2fPxuHDh9X+eo7KuMkPlRkrfChw+n9oQoVyMcbQt29fAMj3JKCWLVvi1KlTWL9+PYYMGSKP5hUqvXr1Qq9eveS+3YiICAD/C8AU/64J9PT0qAQ0IUTpKMiMyJUmniQRQghRPwKBAJUqVUJoaCi+ffsGIO2iNTU1VapUI5A2SJ6XC7sqVapg3759+PfffzFy5Eg+q9fVq1f5VOIUaJZ7t27d4me/ijHGcP36ddSrVw8rVqzA1KlTldQ6og4kSyUkJSUpsSWEyFfFihUL5DXkf/r376/sJhAAI0aMUHYTCCGkUChSpAjWrFmDSZMmYf78+di9ezcYYwgJCUHDhg2xZs0ajBs3DsOHD0dSUhLMzMwybENyMoys2WGcnZ3h7Owst+Mo7KiMm3zQBCvVQ4HT/0MTKpSrePHiOHTokFy25ebmhiVLlqBs2bJy2R5J06FDhzxn8ySEEJJ/FGRGCCGEEJKOgYEBvLy8AABPnz7F2bNncerUKTx48ICfSSnO+lSzZk307t0bixYtgp2dXa73ZWdnh4CAAMyePRsrVqwAx3F4/vw5WrVqhRs3bmQ6ME+y1qJFC3z8+BHXrl3D4cOHcfHiRQBpWbpEIhFmzJiB2NhYLFy4UMktlb/atWtDIBBIlcrU0dGReeavh4eHxs4Szo283BgjhBBCCCHyI3kOZmRkpMSWaKbSpUvD29sbw4cPh4uLC0JDQ5GcnAx3d3cEBgZiz5490NPTy/S1f/78AZAW4CMu1U1yh8q45Q+VGSOahiZUKFeDBg2U3QRCCCFE7ijIjBBCCCEkGzVr1kTNmjUxZ84cvHjxAtu2bcOBAwf4wXGRSISjR4/C19cXrq6uWLhwIYoXL57r/SxbtgwlS5bEpEmT+ECzvn374uzZs/lOza5K/Pz8EB0djYoVK+L79+/882/evMkwkzgyMhLx8fEwNjbO1T7KlSuHwYMHY/DgwXj//j2mTp0KPz8/PjBwyZIlqFmzJnr06CGXY1IV48ePx/jx4/P8eg8PDwBAbGwsTp06BWNjYxgbG6NYsWI041WCvG7qEEIIkJaBc/HixXjx4gV+/PiRp21wHCdVOosQZUlOTsavX78QHR0NCwsLlChRIstAE01BwVDyFx0dzWd81tXVhUAgUHKLNNfff/+Nx48fw9XVFYcPHwZjDHZ2dtn+3derVw8PHjwAkHbdRnKPyrjlD5UZI4QQQgghJH84RnmBiQp5/fo1vnz5gujoaPTu3Zt/fvfu3bC1tUXTpk2V2DpCCCEkTWJiIg4fPowtW7bg0aNH/PMcx8HMzAzz5s2Du7t7nmbCLl68GPPnz+czSk2aNAlr1qyRW9uVzdnZGSdOnOB/F5+KSmbQEmeLEzM1NYW+vj7Cw8PBcRwiIiJgYWEBADhy5Aj++ecfcByH79+/o0SJEpnu19vbG6NGjeK3b21tjdDQULrZJ0FLSyvLTGbGxsaoUaMG6tWrhwEDBqB27doF3DrVER8fjytXrgBIu0HRoUOHLNcV92nlypXx6tWrbLfr4OCAkJAQcByH1NRUubaZkLxasWIFRCIROI7DrFmzlN0ctePn54devXoByF/JJvrcyBuRSIQvX74AALS1tVG6dGklt6hwSkhIwNatW3H8+HE8ePBA6r2ora0NJycn9OzZE25ubhp33kXBUIqRkpICfX19AICZmRmio6OV2yACABg3bhwcHBwwduxYZTeF5MLdu3dRunRpKuNGCCF5dPfuXdSuXVvjJ1YQQgjRLBRkRpTuyZMn8PDwwJkzZxAbGwsg40xsOzs7vH//HjY2Nli1ahWcnZ2V1VxCAADBwcG4fv06Hj9+jNDQUHz9+hURERFITExEcnIydHV1YWhoiGLFiqFMmTKoUqUKnJyc0KpVK42dqSkSidQqGxMhYufPn8fixYtx9+5dPlMWx3GoVq0atm3blqe06P369cPRo0cBpH0nnjhxAl27dpV305WiTp06ePLkSa5fJw5+YoyhQoUK8PPzQ7Vq1WQOMgOADRs28JnigLTscTNmzMjbgaghcUCUZOCf5KWCZABa1apVMW7cOIwYMYJKbGaDgsyIqvv16xefPcvOzg6GhoZSy42NjSEQCCg4QkHq1auHhw8fZvi8zS363Mibjx8/omLFigCAEiVKSGVYzYyHhwcGDhyIkiVLFkTzCoUzZ85g+PDh+P37N4DMgyXF5wlFixaFt7e32pzTyoKCoRRHR0cHjDEUK1YMP3/+VHZzCCFEI8TExPDXDhzHwc7OTsktItmhCRXyc/nyZTx58gRaWlqYOnWq1DJnZ2d8/vwZW7duzXRCplAohI6O+hcV27NnDz59+gQtLS3MnTtX2c1RW1++fMHgwYMBpF1f+fj4KLlFhBBNRUFmRKlWrlyJuXPnQiQSZbiJKTlIbmdnh3fv3vHLpk+fjuXLlxd4e4lmS05Oxn///YetW7ciJCREall2H6Xpb77//fffmDx5Mnr27KmQdqoqBwcHvHnzBrq6utDT04O+vj709PQUOstHW1sbFhYWKF++PLp27YpBgwYpbF+E+Pj4YMaMGfj48SOAtL/9jRs35mkm958/f/DXX3/h27dvYIyhSJEiePHiBUqVKiXnVhc8S0tL6Ovro1ixYoiNjcXnz5/BcRzq1avHr3Pv3j1wHAcdHR2kpKTwz0sGmpmbm+PChQv4+PGjzEFmANC6dWtcvXoVQNoN5S9fvmjEYE9m/vz5A3Nzc/53cUCUuO+Tk5MzvCZ9EFrNmjWxZcsW1K9fv8DaXZiI+1RHRyfHAd2vX78iJSWFgkVIgVq6dCn+/fdfcByH27dvS30WA0Dx4sUREREBU1NTvky02N69ewEAlSpVQsOGDQuszerEyMgISUlJANKuEcaOHQsrK6s8Be82a9ZM3s1TWYsWLcLFixdhbGwMExMTcByH5ORkxMTEoGfPnnB3d5dpOz9//oSVlRUAoHz58nj//n2W6z5+/Bj16tVDuXLlcOHCBdjb28vlWAqzTZs2YeLEiXy2QyD7IDPGGLS0tLB27VpMmDChQNuqTBQMpRgmJiZITExE6dKlERYWpuzmEEKIRvDy8oKbmxuAtKzeiYmJSm4RyQ5NqJCfKVOmYN26dRkmDTDGUKpUKYSHh8PAwACRkZEwMDDglwcHB6NDhw7w8vJCmzZtlNDygtO6dWsEBATAyMiITyYitm7dOsyfP5+/fmOMIT4+HnFxcdi4cSNcXFyU1OrC59u3byhTpgw4jkOFChXw9u1bZTeJEKKhNPOOGlEJW7Zs4UuuiAcds5rBnT6jxqpVq1ChQgWMHDmy4BpMNNrdu3cxYMAAfPz4MdOsLrLcCBK/7vbt27hz5w6aN2+OAwcOqEXQiKxEIhGSkpKQlJSU4WJDUTiOw+PHj3H8+HEcP35cqkwfIfLUu3dvdOrUCTNmzMDmzZvh5OSU51Ih5ubm8Pb2RocOHcBxHKKiouDm5qYW79/v37/zAy7izGIAcOfOHX4dcdbD1atXY9SoUXjx4gXWr1+PAwcO8EFQf/78QZcuXTB9+vRc7X/dunWoWbMmACA8PBy+vr7o27evHI6s8Pj06RPc3d3x7ds33L9/P8Nye3t7vHr1CrGxsQgPD0dYWBju3LmDwMBA3Lp1CzExMfw52ZMnT9CoUSMsX74c06ZNU8LRFA5CoRCfPn1SdjMIycDY2Jg/RzUxMcmwXJzZLLNJAUOHDgXHcTAyMkJgYCCqV6+u2MaqIVNTUwgEAnAchyNHjlB2ARl9/vwZd+7cyfQaLDdBz+LSjeL3cXbc3d0hEonw8eNHNGzYEE+ePNHo0mJnz56VCjBjjMHW1hZt27aFvb09TE1NERsbizdv3uDSpUt49+4dOI6DSCTC5MmTYWtri86dOyv7MAqEgYEBEhMT+YxmRD7EwQ2aOlmEEFlRGTciT3p6evy1Q/oMyER+5DWhwtDQUOb/r8ePH/PjmZo+oSI4OBgHDx4EAEyaNAmWlpb8tYKxsbHUuoGBgQgPDwfHcejYsaNUgJlQKMSAAQPw6dMntG/fHm5ubti0aVPBHUgB09fXB2Ms03EFkUiEuLg4xMXF4devXwDAVwKhPDi5Y2pqmuljQggpaHQlTpTi58+fmDZtGn8SUapUKQwbNgxLly7NdP2LFy/Cx8cHK1asQGxsLBhjmDJlCnr16oWiRYsWcOuJprl9+zbatm2LxMRE/uQXSDsRljwJNjAwgLGxMQwNDZGUlIT4+Hj+NWKSrw0ICECjRo1w586dHDPvqIvsZrgrknh/p06dwr179yjjDlEYIyMjeHp6olmzZhnKw7558wYlS5aEmZmZTNtq164dXF1d4e3tDSDt/Xvq1KlCX2JIcsBFFvr6+qhTpw7q1q2LAwcO8M8lJSXh9+/fWLJkSa62V61aNXTp0gWnTp0Cx3E4dOiQxgSZiUQirF27FgsWLOBnHJ84cQI9evTIdH1TU1OYmprC1tYWzZs3BwAkJCRg165d2Lx5M4KDg/kbxjNnzsTXr1+xfv36Ajoa1bB27VoEBwfDy8sry3VowIyoMslB8vQD5gCgq6sLIPMgM7H4+Hi0b98eN27cQKVKleTfSDXWqlUrHD58GAAQFxen5NYUbpLXabKSfF9nd+PtxIkTCAwM5Ldfs2ZNjQ4wEwgEGD16NB9gZmRkhC1btmDgwIGZ/h8wxnDgwAGMGTMG8fHxEIlEcHNzQ+vWrXN9XlgYUTCUYmhra0v9S9TXr1+/MHPmTABpAfEbN25UcotUT3Zl3NasWUNl3CRQmbH8EZ87yRKgL6ujR4/i9OnT2Ldvn1y2pw5oQoV8fPz4Ed27d4e+vr7Uj66uLlJSUiAQCPjJ8ElJSXj27BmAtCzzS5YsAcdxfOY+8WSB9OeuW7Zs4R9PmTJFatn8+fPx5MkTcByHokWLYvLkyYo8XKUTfz5k915LH1RG42W5J/keFI/XpOfu7o4KFSrA2toaxYoVg4WFBczNzWFpaQlLS8s8ZU4nhJD0NOcKgqiUrVu3IjExERzHoWLFirh37x6MjY2zDDKrWLEiZs6ciZ49e6JRo0aIiIhAQkICvLy8+GxohChCWFgYunTpgoSEBD57DmMMFSpUQNeuXdG8eXPY2dmhUqVKmd58S01NxYcPH/DmzRsEBgbi5MmTePnyJb+dDx8+oEePHrh27VqWJ4XqRHzzJ/1Fl6LExMTg7Nmz+P79O3/R4u/vT0FmRK6+fPkCNzc3bNiwAba2tgAAZ2dnqXUEAgG6du2KP3/+wMPDA//8849M2160aBH279+PpKQkMMawePHiQh9kJimvgwlHjhxBz549IRKJEBMTwz/v7u6e7U3icuXKYcGCBRgyZAhOnToFxhguXboEgUCg9jc5X716haFDh+LRo0dSN+Ld3d3Rpk2bTGcaZsbIyAhjx46Fm5sbFi5ciGXLlvFlzz09PaGtrQ0PDw9FHopKYIxh/Pjx2LJlCziOQ//+/flAPEn79u2DgYEBDA0NYWhoCF1dXWhra0NbWxtaWlpITk7mBzQlH2ua9GWuypUrJ9N6+ZHVPjSN5ABwZuei4puO2WXg4TgOP378QNOmTXHp0iX89ddf2e4zJCQEUVFRaNCgQR5brT4WLVqE8+fPIyYmBuPHj8fp06cp21EupZ+sI2swPwCpm+pZBaqIRCLMnj2bv34zMzPDrl278tZYNbF79258/foVQFofnjlzJttyrRzHYeDAgbCxsUHr1q0hFArx7ds37N69G6NHjy6oZisNBUMpVvqJPUT9JCUlYffu3eA4DqVKlaIgs0xcuHCBL+MmGWTGGMPNmzcRHh6Oxo0ba3QZNzEtLS1cu3aNLzNGckfyPFUeYyj79++Hi4sLRCIRqlatygeUkoxoQkXuJSUlISgoKMd+S9+3ktcT4sfia2XJ64d79+7h6NGjfBYzyUDeO3fuYNWqVeA4Drq6uvDz8+PHjNWV+P2WU+ByQECA1O+VK1fOcdsvXryAlZVVlglHGGMIDw/Hjx8/1D7DuuS4TVZ97enpme373szMDEWKFOGDzsSPJZ+zsbGBk5MTLCws5H0IhBB1wQhRggYNGjCO45iWlhbbtGkTY4wxgUDAOI7jn8/K2rVr+XUaN25cUE0mGmro0KH8+43jOGZjY8OOHDmSr21evHiROTg4SL3f16xZI6cWq64qVark+PetCD9//mTGxsZMS0uLaWlpsQ4dOhTo/ol6O3bsGLO0tGRaWlqsSZMmLDU1NdP1xowZI/U337JlS/b69WuZ9jF+/HjGcRz766+/WEhIiDybr3QeHh58n0j2nfi5DRs28M+tX79e6jNk3rx5Up/P4r/x7H5q1arFGGMsLi6O6erq8q8LCAgo0OMuaGvWrGEGBgZSfSX+d+DAgezXr1+Msf/1u4ODg8zbDggIYCYmJlLbPHr0qKIORSXExMSwTp068cfMcRyzs7PL8u+f5Ezyb1hbW1um9fLzk90+NM3hw4f5fv3582eG5eLztypVqmRYlv7zhOM4Zm5uzi5fvpzl/gQCAatevTrT09Njy5Ytk+uxFFa3bt1iJUuWZFpaWszOzo7t2bOHvXv3jgmFQmU3TWW5urrK7bpCvJ2GDRtmunz79u1S53Dbt2/P9z4Lu3bt2vH9MXHixFy9duLEifxr27Ztq6AWqpZixYoxLS0tZm9vr+ymqBVxv1auXFnZTdF43759Y71792a9e/dmI0aMkPv2f/36xX8O29rayn37hc3r16/ZvHnz2Lx581hkZCRjjLG5c+cyjuOYtbW11Lo3b97kP3N79eoltSwlJYXVrl2bXz527NgCOwZliomJ4Y+5Zs2aym5OoXPq1Cm+//L7vbZ9+3amo6MjdZ4lOQakySTPdUuVKiX1s3jxYpm3IxQK+e3Ur18/03VSU1NZlSpVpK7nwsLC5HUoShUcHCx1rZrdj+R1xbNnz/jnkpOTGWOMrV69mnEcxxwdHRljjEVERDBbW1vGcRwzNjZmDx8+ZA4ODuzBgwcsPj6e2dnZ8dvw8vJSyvEXtEGDBjGO4zIdU1yzZk2+rt/Er9XT02NFihRhpUuXZjY2NqxUqVLM3Nyc6ejoaNRYj7g/mjRpku3ynN7zOf3o6+uzESNGsPj4+AI+QkJIYUCZzIhSvH37ln+c25lS7du3x5QpU8AYw+vXr+XdNEJ4Hz9+xL59+/iof0dHR1y5cgWlSpXK13bbtm2LO3fuoFWrVnjy5AkYY1i5ciXc3Nzklmqc/E+JEiVQp04d3Lx5EwDw8uVLJbeIqIOUlBRMmjQJW7du5bNxBQYGYs6cOVi+fLnUumFhYThz5gyA/6UFDwgIQI0aNeDu7o758+dnWqJMbObMmXj48CHOnTundrOHRCKR1OPcZCKYP38+fHx8EBoamiHdek6MjY3x119/4enTpwDSZhhmloVKHbRr1w5XrlzhZ2aK+6pGjRrYtm1bvjM7Nm/eHIcOHUKPHj34jGbDhw9HrVq11LJsXnBwMLp37443b97wz4kzKlAmjfyT9e84N3/vRD6ymwXr5uaG7du3IzU1FTExMejYsSNWrFiRaTmQKVOm4Pnz5wCAuXPnolSpUnBxcVFYuwuDhIQEWFlZ4devX3j79m2e+oPjOAiFQgW0TnNklmVKIBBgwYIF/PvfyckJrq6uBd00lfPixQv+8dChQ3P1WhcXF2zYsCHDdjQBlaVRDIFAgBs3bhTY/vT09FCuXDlYW1sX2D5VXUpKCo4dOwaO4xSSKVacLYnjOLXKPk1l3JSDyozlj2RmrPyUWfX29pYqvc0Yg7W1NZo0aSKPZqqV79+/5/m1kue3WWVU3blzJ0JCQgCkfc6uWbNGLbKYpRcQEADGGFq2bAmO47B7926UK1cOYWFhGDJkiNS6kp8N4sfiv3uO4xAVFYX27dvjw4cP4DgOy5Ytw+LFixEcHIyWLVuiQYMGePv2LTiOw4gRIzBixIiCO1AlEn8+KCp7L2MMKSkpiIqKQlRUlEL2oW6MjIxgb2+P6OhoREdHIyYmhh+Ll2VcLTk5GTt27EB4eDhOnDih6OYSQgoZCjIjSiFZ2iq3ATtlypThH8fFxcmtTYSkd+HCBf6kS1dXFz4+PvkOMBMzNzfH0aNHUbVqVSQlJSEiIgJnzpxBnz595LJ9Ik3yc+Pr169ITEzMNk04Idn5/PkznJ2d8fDhQz5whzGGWrVqoVu3bhnWL1euHN69e4cDBw5gzZo1fMnclJQUeHh44MCBA1i9ejX69++f6f6sra1x69YttQxgkbwhnpqammGQcvfu3Xjy5AlMTEwyBJZra2tj2bJl6NWrFziOg6mpKWbPni21TmpqKlJSUpCUlITY2FiptOp2dnZ8kFlQUJCcj0x1VKlSBZcvX+bfp7q6upgzZw7mzJkjt4Gfzp07Y/HixXw5sfj4eEydOhV+fn5y2b6qCAoKQuPGjREfHw8gbUCmefPmOHz4cIZybST3KMCs8HJ3d0e/fv3Qt29f/PjxA0KhENOmTcOdO3ewc+dOmJqaAgDOnz/Pl5gFgI4dO2p8gNnp06f58s/ifqH3uOrYuHEjvn37BiCtvJanp6eSW6Qafv/+zT/ObdkfcWkyxhgiIiLk2i5VR8FQivH582e0aNGiwPcrnmhB54DSpbdzGmcRCAR4/PgxgLRxNicnpxy3LxnUok4lpamMm3JQmbH8kaXUeE52796NUaNGSY2nVatWDefPn1f77yxl0vQJFelLu9evXx/29vZ8gB0A1KtXD0Bav6R/7ufPnwCA8PBw1KlTBx8/fgTHcejXrx/Gjh2Lz58/g+M4xMXFwd/fHxzHoWbNmhpV4lkyEE9R28/sWpmuo7NWrlw5/rxLLCYmBlFRUXzgWfqfqKgo3L59Gw8fPuT7/NSpU3j+/DmqVaumpCMhhKgiCjIjSlGkSBH+xCwuLk7qAjknP378AJB28mBpaamQ9hECAP7+/gDS3msDBw6Eg4ODXLdva2uLwYMHY/v27QCAS5cuUZCZgohvbjZs2BCdO3fW6FmHJH8uX76MAQMGSN0U09PTw6JFizB16tQs31s6OjoYMmQIhgwZgqNHj2LOnDl49+4dgLRZiYMGDcLWrVvh6emJmjVrZni9OgaYAWmz3iUfp79p8OzZM37GdmZ69OgBOzs7vHnzBnFxcahUqRJ69eol074rVqzIP1bnDIcLFy7EgQMHEBkZicqVK+PgwYOoVatWtq+RzDAnq6lTp2Lv3r0ICQkBYwynT5/GjRs30LRp07w2XeVUrVoV1apVw507dwAArq6u2LZtm9r+fRakDx8+yHU9UvCaNGmCx48fo2/fvnz22OPHj+Pp06c4dOgQbG1tpW5Y2Nvb4+DBg8pqrspYsGABUlNTld0Mkono6GisWLGCP7cbPHiwTMEQmsDCwgK/fv0CkDY+I77WkoV4PAdIm3ilSSgYSjGUdUPx2rVr+Oeff/hxI00mmRkqpyCwr1+/onHjxuA4DqVLl0ZYWFiO25dHUIuqy837WLKP02eNEfdVZGQk+vfvD5FIBCMjIyxYsAC1atXC3r174ejoiCFDhiA1NRUcx8HT0xMNGzaU49EUHjll4srq/+XPnz+IiYnBx48fs329rq4uBg8ejPXr11Pliv+3f/9+uLq6SgWY/f333zh79qzaBeQVBjShQtqjR4+kfmeMZXju9+/fCA8PB5BWOWD37t3Q1tbG6tWr4ejoiOHDh4MxBjMzM/j4+EgFShNpq1atwvXr12FqagpdXV3o6OggOTkZiYmJ/M+1a9ekXtOvXz+0a9eO//3ChQs4cuQIOI7Drl27CvgICiczMzOYmZnBxsYm2/UuXLiAHj16IDk5GUDaBDkKMiOESKIgM6IUFStW5IPMXr16latZKmfPnpXaDiGKEhwczD/u3r27QvbRrVs3Psjs4cOHCtkHAZo2bQoXF5d8l4Ujmm358uX4999/+cFYxhiqVq2Kw4cPo2rVqjJvp0+fPujZsye2bNmCJUuW8NkgAgMD4eTkhOHDh2PJkiUoVqyYog5FZUjODkxKSoKJiQn/u6wD7SNHjsS0adMAAEuXLpU5yKx8+fL8ftQ5cMXCwgILFy7E06dPsWHDBpkGt/Nys05HRwfr169H+/bt+b+PGTNm8AFZ6kBbWxtHjhxBnTp14OLighUrVkgt//jxI5o1awZTU1OYmJhAT08vXyVEZMFxnFrc3MxpcCu365GM3r9/D1dXV8yaNQutWrVSSHBkqVKlcPXqVUydOhUbNmwAx3F49+4dGjVqBEdHR77Ui5GREU6cOJGrwBR1FRISwgcxNWzYEGPGjIGVlRVNiFABK1asQHR0NIC0zDxLly5VboNUiJ2dHR9k5uPjkyGTbHZ8fHwApH1/2dnZKaR9qoqCoRRDX1+fP69XtO/fvyMmJoY/17127RpCQ0Nhb29fIPtXVZI30LMqPygmvhZhjMlc+lKWcm+FHZVxU01UZky+Tp8+jWHDhkmVyGzRogVOnToFY2NjZTdP49CEiowy+7uWfE4yk9aQIUPw33//SX0mi6s1cByHTZs2aUyGyLx68+YNzp8/n+m1b/osnmJ169aV+l78/fs3jhw5AgAZvi9J/rRv3x6dO3eGr68vOI7DgwcPlN0kQoiKoSAzohRt27bF7du3AQCHDx9G69atZXpdeHg4Vq1aJbUdQhRFMlNRbgJIckMyO5p4FgyRv6zKEBIii8TERAwYMAAnT56Umm05ZMgQbNmyJU+lV3V0dDBhwgQMGTIEs2bNgpeXF4C08o7bt2/H0aNH8e+//2L8+PFqO5AOAAkJCfzjxMRE/rGnpyeSk5MRExOD6Oho/PjxAz9+/EBYWBi+fPkitY2BAwdi5syZSE1NxbNnz+Dv749WrVrluG/JLKoJCQmIiopS2wypY8eOzXEdyUw6kmVMc6Nt27ZwdHTkS5vev38fT548yTFzWmFSpkwZ3Lt3L9ObmampqXyJhIKQ1aAbIZl5+fIlrl27huvXr8PExAROTk5o1KgRX/4VkE9ZC21tbaxbtw7169eHq6srEhMTkZKSwpcl5jgOa9euRZUqVfK9L3VgZWWFd+/egeM4HD58GKVLl1Z2kwjSMu1s3LiR/5twc3ODlZWVklulOjp16oTAwEAwxrBq1Sr06dMHlSpVyvF17969kxrP6dy5syKbqXIoGEoxKlSogFevXhXIvpKTk9GzZ0+cO3eOf+7GjRtq2a+5kVnQU1bEQWYcx+XpOlpdMwhTGTfVRGXG5OfGjRvo27cvhEKhVIDZmTNn8vRZQPKPJlRk9ObNGwBp56ziCZShoaEAgB07dmDFihUwNTXFf//9h759+0pdP0dERGDWrFngOA4DBgzAwIEDlXIMBUleY1JU5lJ1SU70FP99EEKIGAWZEaVwcXHB8uXLkZycjL1796J3795o3rx5tq/58OEDnJ2d+fIKenp6cHFxKYDWEk0lGWRWsmRJheyjePHiANJOpiX3RwhRHfr6+oiLi+MvnnV1dbF582YMHz4839s2NzfHli1bMHDgQAwePBjv378HkDajcMqUKfDy8sLatWvRvn37fO9LFbm7u6Nfv34AIFXCJ7ugqPSDDyVLlkTDhg358mybN2+WKchMPFO2QoUKcHV11fjyFZKBZfkp3TZ69GhMmDCBH2jauXOn2pVckOUGMQ2SEVUjWRY4NjYWAQEBCAgIkFqnRYsWaNSoEf7++2/8/fffqFy5cp73169fP1StWhU9e/bE+/fv+e/Qnj17UsYMCf369eNv6MTGxiq5NYVfamqqXILz//33X/4mvqmpKWbNmpXvbaoTV1dXrFixArGxsYiJiUGbNm1w/PjxbIPKnz59il69eiEmJgZAWr9KltDVBBQMVfjp6elhxIgROHfuHH+ue/v2bY17L6cneYM5p89gyVKPOZXWJNKojJtqoDJjuffy5Ut07doVAoGADzBr2rQpBZgpEU2oyJy4apLk+Jj4uaJFiwJIC7rp168fnj17hrp168LMzAz6+vpITk5GZGQkOI7DpUuXUK5cOaltFy1aFPPnz1dYtRxlOHjwIAYPHgxDQ0OYmJjwE4lDQ0NhY2OD2NhYxMXFZZgsnF758uWxdetW/ndfX194e3srtO2Fzbt377BgwQK0bNmyQO+Ji88TGGP8fXlCCBGjIDOiFGXLloW7uztWrVoFoVCIzp07Z0hneu/ePfz58wchISG4du0azpw5I5VydsKECShbtqwymk80REpKCv84p9mYeSW5Xcn9EUJUh5aWFo4ePYq6desiMTERx48fl3vp1YYNGyIoKAhjxozB3r17+YG3kJAQeHl5qW2QWfny5XOd0SGzWXIdO3bEzZs3wRjDmTNnEBERwQ8AZcXKygobN26Em5ubWmeLk1VSUhL/WHJ2fG4NGDAAEydOBGMMjDEcPHgQHh4eGnEDQ19fH7Vr14aJiQmMjY2ho6MDbW1tub2/RCIRUlNTkZqaCoFAgISEBKkMgIRk5+fPnzA0NOTfM+kDIRljeP36NV6/fs0P6FpYWPDrC4XCXM9UrlatGpo3b85n6ipdujRfJp6kmTFjBo4dO4aQkBCMGzcOZ86ckbl8GJGWkJCAEiVKoGrVqnB0dESlSpVQrlw5lC5dGmXKlEGZMmVkCij//v07fy4GpN10y+mcQtMUK1YMixcvhru7OziOw6dPn+Dk5ITOnTujffv2sLe3h4mJCeLi4hAaGooLFy7g7NmzfIkxjuOwaNEijSgNrywUDKU4FhYWUr8HBwcrpyGFlGQpeboGyx0q41a4UJmxND9//kSnTp2ksmvWr18fZ8+epQCzPKAJFaolNTUV0dHR/Gev+JxLXFZejOM4fPnyBX379sXjx48VVjFHGRhjSExMlKpUkZKSgi9fvsg8fmBiYoJ27drxv7948UIhbS2MIiMjsWDBAvz3338QCoUIDQ0t0CAz8STkv/76Cy1btiyw/RJCCgcKMiNKs3TpUjx+/BhXrlyBSCTCrl27+IsNxhgaNmwotb7kSUnLli2xfPlyZTSbaBjxe27JkiVSg2HykteSZISQgmVhYYGzZ8/C3NwcpUqVUsg+jIyMsHv3bjRt2hRjx45FcnIy7O3tsXfvXoXsT500atQIAFC3bl2sWbNGppvBdevWRd26dRXdtEJDXDKPMYa4uLg8b8fS0hK1a9fGw4cPUbRoUaxcuVIjAsyAtFKaDx8+VHYzCMnUunXrsG7dOkRFReHTp094+/YtgoOD4e/vj+vXr0vdmBSLioriz4XfvXuHIkWKoGXLlmjXrh3atGmT4z4fPnyInTt38r9v3749w815Taenp4fTp0/D2dkZAQEBcHR0xOzZs9GwYUPY2NjkaqKLpnzWZiUoKAgJCQl4+PBhlp/F5ubmKF++POzt7fmf9KysrODr64shQ4YgMTEREyZMUHTTC6Xx48fj+fPn8Pb2BsdxEIlEOH36NE6fPp3p+pLjOcOGDaN+LQAUDKUY4qxEQNr7OiwsTImtKXwkx9UUMcamzqiMW+FDZcaAmTNnIiwsjL/WqF69Oi5cuMBnlieyowkVqkdLSwtmZmYwMDCArq4u4uPj+WxmFhYWMDMzAwB8/vwZjDEIhUJ4enpi27ZtSm65fGU2gY3k386dOzFjxgxERkbyffrw4UP4+PgUWBtq1KiB69evo0mTJgW2T0JI4UFXc0RptLW1cebMGYwePRq7d+8GkBbQIz7BTT8DQPzckCFDsG3bNmhpaRV4m4lmYozxZWwUIbObeuout5kwCFEF+SkblhvDhg2Do6MjBg0ahBMnTsDExKRA9luYOTg4wMPDA+7u7nR+kEcWFhY4f/48gMyzxeVG69atUbZsWXh5edFgJSEqxtLSEpaWlqhZsyYAwM7ODtevXweQVs7u/fv3uH37Nm7fvo3Hjx9LlbX58+cP/Pz84OfnJ9O+xo0bx5/zDR48WGp2MkkjmcGBMYaPHz9i1KhRud4Ox3EaP3lFXDZbLLPrq+joaDx79gzPnj3jnxO/v79//44vX76gTJky6Nq1Kx49eoQjR47A2tpa4W0vrLy8vFC2bFksXLhQqr/TZ9aRfPzvv/9i/vz5BdpOTUXBUIoRGRkJAChZsiQaN26M2rVrK7lFhReNCeUOlXHLOyozpjweHh54/Pgxnj9/jkqVKuHSpUswNzdXdrMKJZpQoRqio6MRGxuLGjVqZLj+evPmDRwdHSESiVC3bl1cvHgRQNpkK/E1nnjcTR1Uq1YNixcvhrm5OfT19bF//37cvHkTZcqUweLFi/n1xMF2RDZCoRDdunXDhQsXpO6h6evrY/jw4ahVq1aBtaV///4Fti9CSOFDQWZEqfT09LBz504MGzYMK1euxNWrVzOU/WGMwdDQEK1atcK0adMoapoUOBr4kg9xel0gbfYVzVojJGsNGjRAcHAwlRCRUdGiRTFp0iRlN6NQMzQ0lFsAyKxZs2BqaiqXbRFCCk6pUqVQvXp1/gZjcnIyqlativfv30NfXx9aWloyl2jdtWsX7t+/D47jYGlpiTVr1iiw5YWX5KBx+slVJCOBQAA/Pz/cunUrw7IrV67AxMQEenp6fF8mJydDIBAgJSWFXy9934onur1//x52dnaYOHEiFi5cCFtbWyodJIN58+ahd+/eWLp0Kc6cOYM/f/5ILWeMwczMDF26dMHs2bPh4OCgpJZqHgqGUoxSpUrBz88PnTp1oms1otKojBuVGVMFRYoUgb+/PwYNGoStW7eiRIkSym5SoUUTKhSvadOmACB1zSt+7uvXr/y/Tk5OOHHiRIbz2ufPn0NLSwupqam4cuUKbt26hcaNG6Nt27YAAF1dXbRo0aIgDqVAVK9eHdWrV+d/v3//Pm7evAkLCwsMGTJEiS0r3HR0dFCmTBmpsQIXFxcsWrQIpUuXllo3KSkp24kkQqEQsbGxNEZLCFEICjIjKqFx48Zo3LgxUlJS8PTpU/z8+RMxMTEwMzNDyZIlUbNmzVyVCiFEXugGj/xIzqROTEykIDNCckA3LUhhRYMXhBQekudnIpFIapmenh50dHTAGEOFChXw+PFjXLx4ESdPnsSZM2fw+/fvTLcZGxvLl2QCgPnz51NWw2zQ9UbOnjx5go0bN+L48eNZlnQWZwrIjEAgQHh4OL5//47v378jLCwMoaGhePPmDS5dusS/V5OSkrBq1SqcPXsWp06dQvny5RVxOGqnSpUq2LdvH0QiEZ49e4Zv377hz58/MDc3h7W1NWrUqEGZZpWAgqEUo1mzZspuAiEy0fQyblRmTHUUK1ZMrbI3KRJNqFCuwMBAqd8ZY1LPifs9NDQUjRs3xpUrV/isUj4+PhgwYAAfXMoYw+zZs3Hjxg0UL14c9erVw+HDh+n6gshk1apVOHr0KGxsbODl5YV69eplut7Dhw9RoUKFDM+L36vv3r2DhYUF9PX1Ubp0aZQtWxYVKlSAvb09HB0d0aBBAxQvXlyhx0IIUV8UZEZUiq6uLpycnJTdDEIAAAEBAcpuglpJH2RGCCGEEEKUKzY2ln8seXMi/XNCoRAGBgbo1q0bunXrBsYYbt26hVOnTmWYOPDr1y9YWFjg169fqFChAtzc3BR7EIUYXW9k7/PnzxgyZAhf0jV9NhZZGRgYoGzZsihbtmyGZeLgJ8kbci9evED9+vVx8eJFvrQsyZmWlhZq1apVoCVcSNbUPRhKHBgtOc5AiKajMm5UZowUTjShQjVkNvknqwlBUVFRaN26Na5evYr4+HgMHjyY/9z9+++/cefOHQQGBuL48ePo2bMnbt26BR0duh1PZGNubo6zZ8+iXr162b5vsnp/ps+SLhAI8P79e7x//56/tharUaMG+vTpg6FDh6JUqVLyOQBCiEagbzVCCMmCug/KFjTJwd/v379nepOHEEKI6vPw8ECTJk2ynEmniVJTU/nyCdra2hlS2BPFevPmDW7evIlv374hOjoaFhYWsLa2RpMmTWBnZ6fs5qm079+/848zmwQQHx8PIGMAGsdxaNKkSaaZGSpWrIgnT55g6tSpqFatGg2mZ4OuN7Jnbm6OW7du8TeJxeV+ZM3+5uXlhZ49e6JYsWI5rtuoUSN069YNc+fORUpKCsLDw9GuXTvcunWLPkdIvlAwlGIIBAKpfxUhKioKUVFRsLW1Vdg+CJEVlXGTDZUZKzjfv3/HhAkTCmRfQqEQAoEAiYmJiIuLw4IFC1CnTp0C2bci0YQK1SI+Z3v9+jWqVq0KjuP4zGRr167F1KlT4eDggEGDBmHOnDmIiopCp06dMGrUKCQnJ8PMzAwHDx5Eu3btUKtWLbx48QIzZ85E165d6ZqY5FrDhg1zXIfjOOjp6WW6TCgU8u9fIOuANHGJ3fnz56Nfv36YOXNmhnMIQgjJDH2zEUIIKRDJycn8RfLHjx8pOIEQCWFhYXB1dQWQdoF46tQp6OvrK7lV6uXOnTv4+vUrnJ2dld2UQmHx4sU4dOgQ9PX18eTJE6llp06dwuzZs+Hm5oZVq1ZlGNC4dOkSf7NCU3z69IkPQihdunS2NyuI/Pj4+GDRokV49epVlus4ODhg/vz56N27dwG2rPBISUlBxYoVAaTdaEsvPj4eHMdlOaM+K4aGhti8ebNc2qjOhg0bxj+eMmUKqlatqsTWqB4zMzM0bdoUV69eBWMM+vr6aNu2Lb5//46HDx9m+9qnT59izJgxWLZsGfbs2ZNjQB/HcZg6dSoaNmyI9u3bIz4+HuHh4ejatSsePnyYIWMfIbKiYCjFUGS/+vv748SJE9i3bx+KFCmCe/fuoUSJEnLfT2EmFAoxe/ZsTJw4EdbW1spujkagMm6yozJjBSMyMrLAz/fFwYPjx48v0P0qCk2oKDirV6+W6tft27ejePHiCA8Pz7CuZCZIoVAIHR0dqQDAmTNnQiQSYe7cufj+/Tv8/f2xbNkytGrVCnXr1gUArFy5Ep06dcK7d++wcuVKzJkzR8FHSDRRgwYNMpwfSGKMISkpCXFxcfj9+zciIiLw48cPhISE4O7du7h27Ro/1pOSkoL9+/fj4MGDGD58OJYuXYqiRYsW1KEQQgohCjIjhYpklggg7Saetra2EltECJGVQCDgL8g+fvyo3MYQomJEIhGuXLkCIPtZSCRvjhw5gqFDh0IkEsHY2BgdOnRQdpNUXlxcHIKDgzMMKMTExODu3btISUmBj48P1q9fL7V8x44dGDlyJPr164fly5ejXLlyBdhq5TE1NeW/4ygQQfESExMxdOhQHDt2DACkMhVIYozh1atX6NevH44ePYo9e/bAyMiooJur0lasWIEVK1ZkuTw+Ph6MMamymkR+du/ezb93582bl6dtnD59GsuXL0dQUBDMzc3Rvn37TLN1FFZ9+vTB+/fvMWHCBAwfPhympqYYMWJEjkFm48aNg0gkQlhYGAYMGIB3797JFMDfsGFDnDp1Ch07dkRSUhJCQ0Ph5uaGvXv3yuuQiIahYCj5S0pK4r/7FdGvAQEB2LJlC4C0stLdu3fHtWvX6Brt/4WFhcHZ2RmPHj3Ct2/fsH//fn7Zx48fMX36dJm2k5t1CZVxyw0qM1YwZA2EkpfcZvcqDGhCRcGZOXMmgP+9j9auXZvlupJZvMVBZuIgXfG/s2fPxt27d3HmzBncvHkTHTp04APMAKBDhw5o1KgRAgMDsWzZMgwYMEBtAnmJ6sgpUzLHcTAwMICBgUGmwajJyck4fvw4tm7dips3b4IxhtTUVGzfvh1+fn7477//0K1bN0U1nxBSyKnP1QPRCFpaWmjfvj1CQkIAAPv378c///yj5FYRQmTx4sULfgCCZkEQIs3ExIR/rKenp5aDZ8qyceNGTJ48mU977+zsjGfPnqFSpUpKbpn8JSUl4fXr19DX15f60dXVRUpKCgQCAZKSkpCUlASBQIDatWsDSLtB6eLiAo7jEBgYiDJlysDAwABAWjYiSb6+vkhJSQHHcVIZeADg/fv3mDRpEhhjOHz4MIoUKQJPT8+COXglE/8Ncxyn9oOzyiYUCtGpUydcv35dKrgsu5tEjDEcP34cv3//xuXLl9XqJlp+/fr1i5+5WqFChQzfP5LlFeLj4+Hh4QEAaNy4MVq2bMkv+++///iMAosWLeIH8Un27Ozs8ObNGxgZGWWaSSMnW7duxbhx4wCk/Q0kJiZi9+7duHTpEu7evasWgWZDhgyBq6srX+pHFvv378ft27cBpH0GeHt75ypDbPPmzbF06VJMmTIFAHDgwAEMHjwYrVu3zl3jicajYCjFEAgEsLW1BcdxCpl4umTJEkREROC///4Dx3G4d+8ehg0bJhVMpan8/f3Rr18/REZGgjGGQ4cOoX///vzyr1+/8ucK2WGMybwuSUNl3HKHyowpnoGBAZ8RWZFSU1MhFAqRkpKC+Ph4xMXFqdWYGU2oULzcBkRKTrCKi4uDgYEBH3gmmeVsy5YtuHr1KhISErBw4UL07NlTKivcrFmz0LlzZwgEAri6uvKTiwmRl5yCzHKip6eHfv36oV+/fggICMCUKVPw9OlTAGljRT179oS7uztWr15NyV4IIRmo3xUEKRTEKfw5jkNwcDB0dXVleh3HcRg6dChmzpwJjuNw8uRJCjIjpJCwt7dXdhMIUVnigJ70j0n+LFq0CAsXLuRv7unq6mLdunVqGWAGpGUDqF27tkwDrhzH8YNjurq6+PLlCz/DDQA/OCk5SCkSifjZnsbGxpgwYYLUssGDB/MDvm3bts2Q5UydSd6cyOomjbm5OSpUqABra2sUK1YMFhYWMDc3h6WlJYoUKSL1r/hx+iA/AkyfPh3Xrl3j3+fFihXD2LFj0b59e9jb28PU1BSxsbF48+YNzp8/jy1btuDXr19gjOHGjRuYNm0a1q1bp+SjUB1jx47F8ePHwXEcIiMjYWZmluW6ycnJWLBgATiOw8KFC6WCzGxtbSEUCsFxHN68eVMQTVcLnTt3lno/RkdH4+7du4iOjoa5uTlq166NkiVLZvrar1+/YurUqZkGW3779g0TJkyAr6+v4g9CwXJbPjwuLo7PjMNxHP/5kFsTJ07E8ePHERgYCMYYJk6ciBcvXuR6O+po2rRp/I33gQMH8kHrJCMKhlIMc3NzvH37VqH72LJlC8LDw3H8+HEAwKFDh1ClShXMnTtXoftVZZs3b8akSZP473sAqFSpklT2vNzcyC/oLEiqjMq4KQeVGcufSpUqISgoSNnNKPRoQoXiWFhYYMSIETAyMoKxsTF0dXWho6MDbW1tPngxOTkZ8fHxSEhIkHqto6MjOI7jg3jE/yYlJfHrlClTBtOmTcPChQuRlJSEcePG4eLFi/zyjh07onr16ggKCkJAQAA8PT3VptQrUR7JTHv5DTKT1KJFCzx8+BAbNmzA7NmzkZycDMYYNmzYgGfPnuHEiRPZjhcRQjQPBZkRpRCXyhNnFsiNpk2b8o8fPXokz2YRQgghSiG+6aSoG1CaaPr06VIz44sUKYLjx4+jSZMmSmxVwcjtuZWpqSn/WJyRSxwoJTkRYM2aNXj58iU4jsO0adMQFBSEVq1aAQBWrVqF27dvg+M42Nvb4+jRoxr1XpY81qyOOzY2Fs+fP8fz589l3q6enh4fdGZpaQkbGxs0atQIAwYMgLm5eb7bXdiEhoZi06ZN/I3NJk2a4Pjx4xlu4FhYWMDJyQlOTk4YO3Ysevbsyaf+37x5M9zc3Cj4XYL4M0PysyAzkkHQ6deVnLEtzjpNcjZp0iR4eXkhISEBEydOhJeXl9SNC47j0KFDh0wDpA8fPozExERwHAcLCwts2rQJVapUwZw5c3DhwgWcPHkS7969K5AME6pkwYIF+PHjBziOQ/ny5bFy5Uqp5Xfv3oWjo2OOA+Qcx2Ht2rWoX78+OI7D69evcfjwYfTr10+RzS8UvL29ERMTAwBqdzNS3igYquAIBAK5TtbhOA4HDx5E27ZtcePGDTDGsGDBAlSuXBm9e/eW234KA8YY3N3dsXnzZj6wmTGGAQMGwMvLS2pShL6+fo4lAz99+sRnkJK1vOCnT5/ydQyqjsq4KQeVGSOqgCZUKE7JkiXx33//5fp1zZo1y9AXiYmJAJAhGG3q1KlYs2YNEhIScP36dbx//55PsAEA7u7uGD58OCpXrqx245Fv377FqFGjYGlpCUNDQzx48ABA2mQoceUDjuM0agJqQZAcL5A8J8gLoVCITZs2wcLCAkOHDoWWlhYmTZqEli1bolevXnj//j0YY7h27RqaNGmCR48eqWX2U0JI3sgeHk+IihCfpDHG8OPHDyW3hhCSW4wx/qYEIYWVg4MDtLW18/yT/oJM8ndNCsxRFHd3dz7AjDGGihUr4u7du2o3oJMVjuNgY2MDGxsb/ndra2vY2NjA2to6w/qSgWTi96L4fSieTXvx4kXMnTsXHMehatWqaNq0KTp06ICZM2ciKCiIz25kZmaGkydP5hisos5y+htmjMn8k5SUhJ8/fyI4OBh37tzB4cOHMX78eNjb2+Pu3bsFdESqY+fOnRAKhWCMoWzZsjh16lSOGQKKFi2K06dP838Pqamp2LFjR0E0t1CRpVSz5M379N9jNjY2MDQ0BGMMwcHBCmmjOipTpgyWLFkCxhg8PT35cnriwD+RSISzZ8+ifv36/KC92PXr1/nHixcvxj///INatWrhxIkTsLW1BWNMLTKZ5UZwcLBUmeb//vtPKvghPDwcXbp0Qc2aNXH//v0ct+fk5IQ2bdrw/x/Z3fTXJOXLl+f7RLKUGJGNvMtmioOhxBMyxcFQPj4+ct2PKlu8eDEaNWqE+Ph4uW5XT08Pp06d4ksTijP3Sn7+aoLZs2dj06ZNAP43KWrz5s3Yt29fhqy7Tk5O+PDhQ7Y/uVk3/WvUUU7XA+mlL+MGIMsybkZGRmCMYeHChRkyzc6aNQsA+DJumkheZcauX78Of39/1KxZk18mLjM2efJk+q4kciXLhApZxt3FEyrEj8UTKkjmzM3NUbVqVZQrV07qeWNjY3Tr1g0cx+Ho0aNSAWYAMGDAALRo0QK3b9+W+oxQB/Hx8QgICMCJEydw8OBB/nsmOjoae/bswZ49e7B7924+QI/Ih/i7H8jf99jJkydRrFgxTJkyBSNHjsTJkyf5ZTVq1MC9e/ekSk/36tWLAswIIVLoE4EUOuIMG4B01DYhRPW9fv0aLi4uKFq0KM6ePavs5hCSL/Is7yGZFl/Tg8x8fHwwb9486OvrQ09Pj/9XT08PIpEIycnJSEpKQlJSEpKTk1G2bFmcP3+ef/2YMWP4mYqMMdSpUwfnzp1D8eLFlXVISiG+GSN+b129ehX29vYIDg6Go6MjgLTPZMYYn2EWSMsUBYAP5Oc4DsePH8egQYMgFAphZGSEnTt3ok+fPhAKhVi9ejU8PT2RnJwMjuOwe/duyhCVAysrK8yYMQPR0dFSP1FRUVK/x8bGQiQSZfpZEx4ejn79+uHt27caNcgjLj3BcRzmzZsnczY3MzMzzJ07FyNGjAAAXLp0KcNgvKaTDDYFgE2bNiEuLg5GRkbQ19eHjo4Of2NZJBLh3r17GW4sm5ubIzExEVFRUdi8eTMfdCbO6iAUCvmSJOLSQytWrCjIw1Q5iYmJ2L59u1SAH8dxKF68OH7//s1njImKikLPnj3x8uVLPgOX5M3iFi1a8I/19fUxbNgwzJ07Fzdu3OAzHWiCCRMmICUlBRzHoWvXrhmybLm5uSEiIgIRERFo1qyZTKVdZ8yYgcuXL4MxhkePHuHZs2eoUaOGog6hUKhfvz6ePXsGAHj//r2SW1O4LF68GH5+frhx4waMjY3ltl1xMFSjRo3w6tUrPhiqRIkSaNasmdz2o4pmzJiBNWvWAACcnZ1x+vRpqXOjY8eOITY2Fjo6OtDV1YWRkRGMjIykSp3nZObMmRg+fDhSUlKQlJSEbt264caNG6hevbrcj0cVTZs2Db6+vnj79i0sLS3h6+uL5s2bK7tZhR6VcVMOKjNGCjNZJ1SYmpri8OHDqFevXrbbE0+ouHz5Mh90po5Ze1+9eoXw8HAYGhrCwMAAhoaGuc4gN2jQIAwaNAgAEBYWJrWsefPmYIyhZs2a+PTpE1JSUpCYmIiEhASIRCJcuXIlxwldhVn6MSvJ39X5uJUlPj6enySYmzK76XXr1g0DBgzA1q1bIRQK8c8//+DChQv8xJWiRYviypUr6Nq1K1JSUvDvv//K6xAIIWpCc+5IELUhGamtyVkyCClMGGNYtWoVFi5cCIFAAI7jsH37dv5mLyGFkfhCObMAkOyWkezFxMQgNDQ0x4EIySwvYgKBAM+ePeOXtWzZEidPnuRv4r1//x7btm3js71oIsl+/euvv6SWMcZQrVo1qXVDQ0PRu3dvMMagra2NnTt3om7duvD19UWPHj0QFhbGl2ubOHEilQORgbm5OSZMmCDTun/+/OED0AIDA7Fx40Y+KOLz5884d+4cunbtqsjmqhTJwdzclgQRr88YU/uSS1l5+fIlqlatmumy9MGKO3bsQFBQUKbrMsZw4MABHDhwIMvlsr7HNT3IzNPTE69evQLHcTAyMoKHhweGDh0KPT09JCcnY8+ePZg8eTLi4+Px7ds3bN68mc888vPnT3476bNUiktivX79uuAORgW0atUKt27dQnJycoZAUj8/Pxw/fpz/HnR3d0eZMmVy3GbLli1Rvnx5PiD74MGDGh9k1qtXL3h5eQEATp06BXd3dyW3qHCgYCj5Gz9+PLZs2cKf+1+6dAkeHh6YMWMGv868efP4SRTywHEcYmJi0LZtW1y5ciXD+bQ6KlKkCHx8fNC/f3+cOHGCJpTICZVxUw4qM0YKM5pQkTfr1q3Dzp07Fb6fzDLBValSBS9fvlT4vpXB2NgYLVq0gIWFBQwMDPDgwQM+IL1Dhw78BLSczmWjo6Oxd+9e/veHDx8quumFWsWKFeWWGXnz5s2Ij4/H3r17IRAI0LVrV1y7do3PumdgYIDTp0/j+/fvctkfIUS90FktKXTE2Y84jkOVKlWU3Brlkcx0w3GcVEr0rNbLj+z2oa5u3LhR4PsUzxRQJ69fv8bQoUPx8OFDPhsDYwzTp09H586dYWVlpewmEpIn4vdzQECA1POrV6/GuXPnsl1GZJPbID0DAwO+rFi1atVw8OBBqcGMAwcOYM2aNfDw8ECzZs2wZcsWjT6XyKx/0884FJcm1NHRgZeXF/r06QMAqFWrFo4fP466deuC4zg4OTlh1apVBdZ2TWFubg5zc3PY2NigZs2aGDx4MKpXr84HSV29elWjgswkyyxIZjeWheT68i5VVlg4OztDR0cHc+fORe/evXOc9ZrdZ3BWy3ITZE2zmoGjR4/yj5ctW4aRI0fyv+vp6WHEiBEQCAR8EM/x48f5IDPJG8nps8qVKlUKQFqpJk0yY8YMdOnSBfv375cKgoiNjZXKzlKvXj0sXbpU5u0OGjQIixcvBmMMPj4+Gp8JsU2bNqhRowaePXuGa9eu4dq1a5TVKAcUDCV/o0aNgre3NwDwYwyurq6YMmVKhnXlMfEnfcbJX79+oUWLFrh8+bLalb/KTI0aNfD8+fN8ZcwgiiMu45Y+M624jNvhw4ezLOO2f/9++Pr6wsLCogBbrDzyLDM2ZMgQxMbGQltbG5aWlvyEK3GZsW7duuH27dsAqMwYkQ+aUJF3ypoErM6TjytVqgR/f3/+9xEjRuDt27coXbo09u/fL/N2vn79ChcXF0U0US3FxMTINTPmzp078efPH5w8eRIxMTFo3749AgMDUbFiRQBpmdLLly8vt/0RQtQHndkShYmJiUF0dHSO64WFhck0M/P37984d+6c1Am0Jt1US08yWEce65GMmjdvXqA3v9QxkM/DwwNz587l08SL34taWlpwcXHRmEEsUjgJhUIMGDAAy5cvzzAYKyl9CRrJC+nslmm6qKgoWFpaZrvOtm3bMk1hzxjDsGHDMv2MtrCwgL+/P6ytraVugiQnJ8PLy4v/HLp27Rrq16+PO3fu8OUjNU2jRo0ApAXuPH78GBzHoWHDhgDSBnnEg4wlS5bE/v370apVK6nXb968GUBa8M7Bgwc1vtRrQTA1NUWbNm34m6pZZZpSVyVLluQD7IKCgnKVcUHcVxzHoWTJkgppnyp78+YNQkJCwHEc+vfvj+nTp2P06NGIiorKdP1WrVqhZs2afLlMXV1dcBwHDw8PiEQitGnTJkNGyISEBHh6eoLjOJQoUQJDhw4FYwxCoZAv+5SUlISUlBQIBAKpTBKaSjK7QOfOnTNdp3PnznB3dwdjTCoARXxjlOO4DNfT4t81MaDS0dERy5Ytk3pu0aJF+Pr1K4C0gPQ9e/bk6jvrn3/+weLFiwEAnz59woMHD+Dk5CS/RhdC//33H5o0acKXVrlz5w7dfMgCBUPJ38iRI+Ht7c0fq/j7aeLEiZmuL14vPxm4GGOIiYnhS8oDaRm+NCnoSpOOtSBRGbeCRWXGSGFGEyryp3r16qhQoUKO68XFxcHf35+/dpbFgQMHwHEcOnfuLBUAlD7jNMmI7lvK7uTJkxg5ciTWr1+Pf/75Ry7b1NLSwuHDh9G6dWsEBgbi169faNOmDW7dukXvX0JItijIjCjMunXrsGjRomzXYYyhcuXKudqu+KTDysoKbm5ueW6fOpD1BIxO1PKH+i/v4uPjkZSUBI7j+AH16tWrY/v27Rp/Y4aovn379sHHxwenT5/GjBkzMHPmzFwP9pKsNWzYED169MC8efMyZGARGzhwIIyMjDJdNmzYsCy3ndlszdu3b0NfX1/qMz02NhaLFi3KNKW9Jrh58yYAICQkBA4ODlLPeXh4YNq0aShbtiyePXsGkUiEffv2wcLCAvr6+vj69St2794NjuPQt29ffPz4kQ9KA9IG1dVx9mt6UVFRSE5OLtCgpSJFivCPP3z4UGD7VQX16tXjg8w2btyYqyCzjRs38o818Rzk9OnT/GPGGL58+YK5c+fyzyUlJeHy5cto3bo1OI7jS7qlt2HDBiQnJ6Nr164YM2aM1LLU1FRs3rwZIpEIKSkpGl8KUxaSZZqy+r6TfF48IUXydZnNYhYH8OWmzJ66evv2LTZu3MjfQF+4cGGuA02qVKmCihUr4t27dwAAX19fjfwckVSvXj3s2rULQ4cOxc+fP1G/fn0cPnwYLVq0UHbTVAoFQ8nf2LFj+T5ljMHAwAA+Pj7o1KlTlq8RT3iTRwnhp0+f8mORFy9elGsmCaKZqIxbwaIyY6SwowkVecNxHEaOHJnhGjYzkmNk+/btk2n7Bw4cAJBWwYLKSsumV69eqFmzJkxNTaGrqwtdXV0kJSUhMTGR/0lv2rRpmDZtWqbb09bWVsskDkDa5OCJEyfC29sbjDGMGTMGjRo1Qrly5fh1OnbsiMTEROjr60NfXx96enr8v7IwNzcHkPa38vHjR7Rq1QrXr19HiRIlFHJMhJDCj4LMiELJkkUrNwE84gE3CwsL+Pr6avRgTvoSbPldj2SOAszyZ9asWTh48CBCQ0NhYGCAefPmYfr06ZTthqg8kUiEFStWgOM4CAQCLFq0CLt378aaNWvQq1cvZTev0Lt16xZCQkKwcuVK7Nu3DwsWLICLi4tCb341b94cb9++xadPn7B8+XJ4eXkBSCs3SLJmbm4OCwsLPHv2DEOGDJGa5S7+jtyxYwd27NiR4bU9e/aEj49PgbW1ICUkJGDNmjVYu3YtRo0aVaAzfcV/J4wx/P79u8D2qwqcnZ3599Tx48fh5eUlVV4wK9u3b4evry//e+/evRXWRlVVs2ZNTJw4EU+fPsXDhw+lSgWJv+vat28Pa2trDBs2DK6urihbtmyW28ts4FZbWxvFixfHz58/ER0djZ8/f2pk1rjcKFu2LJ/N7N69e5lm6r537x6AtP8n8c0OccbwrDLzRUREAEgrk6Xunjx5InXNpq+vj6pVq/K/z58/HykpKeA4DlWqVMGkSZP4ZSKRiH+c082Izp07Y8OGDQCAM2fOUBAlgP79+6NEiRIYPHgwfvz4gdatW2PgwIH4999/+fIqmoyCoeTvw4cPOHToEN+n+vr6OHbsGDp27FhgbahZsyb8/f2RmpoKU1PTAtuvOqLxtv+hMm4Fh8qMEXVDEypIYdW+ffs8vU7yu0uc2CD98+okKCgI//zzD4KDg/lj/PPnD3bu3IkFCxbw6z148ACRkZH52pfkxJiQkBC0adMGAQEBUpNdCSFEjILMiMLJ88u9SJEi6N69O+bOnQsbGxu5bbcwSl+CLb/rkYzmz5+v7CYUerq6uli9ejXWrl0LLy8v2NnZZVgnJCQE7dq1g5mZGYyNjaGnp6fQIDSO4+Dv76+w7RP1cOnSJf6mr/gC69OnT+jTpw+aNm0qUzlokrW1a9fyj79+/YqRI0dixYoVmDlzJl/+S1FsbGywbds2REVFwcfHh78RT2ST/rwuu8kEx48fx+HDh9GvX7+CaFqB2b17N+bMmYMfP36AMcb/XlCSk5NRqVIljB49WuMyxjg7O6N69ep4/vw5GGNwc3PD69evMXv2bBQvXjzD+uHh4Vi+fLnUoHu1atU0MsisZcuWaNmyJYC0LFg3btzAuXPnsG/fPqlgxW/fvmHJkiVYtmwZunTpgjFjxqB169YZtpeQkJDpfqytrfHz508AwMuXLynILAdt2rThzzfc3d1RuXJlqUzfoaGhUhmP2rZtCwBSmSOtrKwybFdcVjOzzJ7qpm7dulK/ly9fnr9BBgA9evTAkydPEBISgtWrV0tdZ6Smpmb6ODNNmzbFhg0bwBjD69ev8fnz52wDMdWZ+LNErESJEvx34v79+3Hw4EHUr18/x1nz6nxdRsFQilGhQgUEBASgZcuWiIuLw5EjR3LsU0XccMwq8yTJmeT/hzpmGskPKuOmeFRmLP8k/24lM+sSxaEJFaSwEL/fcrquyqvMzunUNbBMzNvbGxMmTOAzlQNA8eLFsWHDhizHWuXRJ+LgvRcvXqBly5a4evUqBZoRQjKgIDOiMBMnTsTQoUMzPM8Yg62tLQDwMzRzKj/GcRxMTU1haWmpiKYSkikKMpOPLl26oEuXLlkuFwqFCAsLk8qOoyjimeGE5KR9+/YICQnBnj17cODAAb48G2MMN27cUHLrCrf4+Hh8/foVOjo6UoNc79+/x8iRI6Grq1sg7XByclLbLFuKYGlpCRcXF5ibm8PAwAC6uroIDg6Gj48POI5Do0aN0KpVKwBpwWXPnz8HAOzZs0dtgszev3+PYcOG4ebNm1LfJ79//8bevXsLrB2jR4/GqlWr1KbsVW5wHIc9e/agSZMmiI+PB2MMGzduxJYtW1CrVi3Y29vDxMQEcXFxCA0NxZMnTyAUCvlBNmNjY+zZs0fJR6F8urq6aNWqFVq1aoV3797h1KlTMDQ0hLOzM5+FITU1FSdPnsTJkydRpUoVTJgwAYMHD+a3ERsbm+m2rays8OTJEwDgByRJ1iZPngxvb2+kpKTg06dPqFatGho0aIDSpUvj69evuHfvntR3pXi299mzZwGknZc8f/4ccXFxMDEx4de7ePEif6NJ3aUfRE//u7OzM7p27Yr169dnCEaR7Nucbrw1bNgQwP+Cq+/fv6+xQWbXrl3LcE0l+Xtqairu3LmT7TbU/bqMgqEUp0aNGrh48SI+ffqUafbH9NL/nevo0FC4IkkGNGRGckKRom5CF0ZUxk2xqMyY/Ej+DUsGPRDFoQkVpLAQv8cUEUR+69YtmJiYwNjYGLq6utDW1oa2tjZEIhGEQiGEQiHi4uIQHx8v930rQ2pqKtzc3LBjxw6pamH9+/fHhg0bULRo0Sxfa25uju7du+d539HR0bhy5Qrfl8WKFcvx/j0hRDPRlTVRGHNzc/4CKzvly5eX+YKNEKLe1H32CSlc7OzssGTJEixZsgT+/v7YsGEDzp07B5FIpNY3xRTN2NgY9+7dw58/f3D27FkcO3YM586d4wcrC2o2LP0fpmXZYIwhLCwsw3PiDG8fPnzAuXPn0LFjxwwlMePi4nD69GkkJSXh48ePmDVrFvT09NC0aVO0atUKjDEEBgYW6DEpilAoRIsWLfDlyxf+u4oxhk6dOuHff/+Fk5MTJkyYUCBtqVSpUoHsR1XVqFEDPj4+6NOnD1/yMSUlBQ8ePMCDBw+k1pUMYjAxMcGRI0dQo0aNAm+zKhPfHNLW1saePXuQlJSE06dPY/Pmzbh+/ToAIDg4GGPGjMHs2bP5z+rw8PBMtyeZVSsoKEjBrS/8bG1tsWnTJowcORIcx0EoFEp9borfw1paWhCJRPjnn3/w999/4+zZs/xAc2RkJIYPH449e/bAwMAAFy5cwKlTpwCk3SxSZ7JeO+jp6WH69OkZnhcIBPzjxMTEbLdRsmRJWFlZQUdHBwcPHkSjRo1y11g1k1Pf03UdBUMpUt26dTPcdM9K+qw71K/yJ9nHOQWdSC5XdAZrQgAqMyZv4r9bxhgFmRUQmlAhP9euXZMpAOrXr1/8440bN+ZqH3v37s0QXKqlpYVx48blajuFkTjILKeAxvQB1RzHYfPmzdm+Rvz+1BQcx+Ht27dSEya9vLxkmsRrZWWFXbt25Wv/379/h7OzM0qWLIkjR44U2IRwQkjhQlfWhBBClMrAwAB16tSBsbExjI2NoaOjAx0dHblkaGGMQSgUIjU1FQKBAAkJCTneQCIkM5IZX9avX4/t27fToHg+mZubo3///ujfvz+ioqJw8OBBeHt749mzZ3Lbx/bt23H16lUcOnRIbttUJ+mDlRhjUs9xHIf4+Hh07doVixcvxqxZs/hlQqEQw4YNg0AgAMdx+Pr1K7Zt24YJEyagevXqAIDWrVtj5syZBXMwCqajo4MVK1ZgwIABANLK2Xh6eqJJkyYZ1g0LC8OiRYuy3FZERAQ2btyIUqVKoXTp0ihbtizKli1LgY+50K5dO9y5cweurq64e/cugIxZcSSDARs0aIDt27dLlRUhacRBNuKbRPr6+nB2doazszOCgoKwfPlyHD16FIwxREVFAUj7bPj8+XOm2ytVqhT/+OnTp4ptvJpwdXWFqakpJkyYgPDw8Aw3jhwcHLBz504sXboUp0+fxokTJ/j3e9u2bREUFIRjx47h6tWrqFChAl9Sx9DQEH369FHSUSmWq6srOnToAGNjY5iYmEBHRwexsbGIj4/P1WepZJBZViVgJdWtWxdr165FxYoV89RudUEZv2VHwVDKJw5IB9KycBoaGiqxNepJ8mZyTtfIuQnuFaOSfCSvqMyY/En2JQWZKR5NqJAfxhh8fX3h6+sr0/riawrJ8qOyrL98+fIMy7S1tTUiyEz8mSD5vsvMf//9l+G5nILMNI2Wlhb27duHqlWrokyZMjh27FiOWcrleb5kZWWFS5cuwcDAQCo7IiGESKIRC6I0dCONEAIAFStWzJB5hBBVVbFiRXh6euLKlSsICQlRdnPUhqWlJcaOHYuxY8di5cqVUsFMeZGUlIRRo0bx5UO6deumNiUb5SmzAcvMnhOJRJg7dy4EAgEWLlwIABg0aBCOHTvGz3IFgKVLl8LFxQVmZmZYv359gWX2Kij//PMPNm7ciB49emDq1KlZBkN//vyZ7ydJkuU10w9U6ujowNbWFo6OjmjQoAHatWvHB+uRzDk6OuL27du4evUqjh8/jps3b+Lbt2/48+cPzM3NYW1tjSZNmqBHjx58KVeSkXgAWFxiQjKooXr16jh06BAmTZqEoUOHIjg4mP+bzypLmWSQ2YsXL5CcnExZq2XQt29fdO7cGWfOnMGjR4/w588flChRAs2aNUOrVq3AcRx2796NVq1a8cF7jRo1wsGDB/HgwQN069YNERERiIyM5APQZs+erTY3NNOrX7++XLYjvtnGGJMp2GHbtm1S2fo0FQWZKQYFQymGtbU1ihcvDiDnm54kbyRvauYUZCYO6JX1c1eWbRKSHpUZUxzx3yPHcRRkpkA0oUIxKNOuYom/17P7fs/s/4DuE2eudOnSOHXqFOrWrQsjI6Mc15d3qVBjY2O5bo8Qon4oyIwoTfpsA4QQQkhh5OjoKPX7jx8/8rRM7Pfv3/yy1NRUCIVCpKSkQCAQID4+Xu4XjaqmWLFi+Xr9p0+f0KNHDz4jGmMM48aNQ5s2bbIdTNZEQ4YMAZBWLsTPzw8cx2Hw4MEAgJcvX+Lhw4cwNTUFx3GIiYnBkiVLYGRkBJFIhCNHjgAAKlSogClTpmDcuHH4/fs3li5dihUrVqhdgJnYrVu3cpzFl5eBy5SUFISGhiI0NBR+fn6YOXMmKlWqhJEjR8LV1VWmEvSaqmXLlmjZsqWym1FoSQbZxMXFwcLCIsM69erVw/3799G1a1cEBwejX79+GDRoUKbbE9/IF/8dvH79mkqUysjY2Bh9+/ZF3759M11uaWmJBw8e4MWLFzA0NIS9vT2AtMx+58+fh5ubG0JDQ2FsbIxp06Zhzpw5Bdn8QsnW1hYikUjm9SnAjCgSBUMpBpVuVjzJwIWcAsIsLS2xdetWAJA5kFJTgsyojJv8UJkxxaFymQWDJlTIV/fu3VGpUiUYGBhI/SiCSCSCSCTix3HFP5pAfJyZBTQ6OjrC1dUVZmZm0NfXh66uLoRCIZKSkvJdqlidNW3aVKb1kpOTcyxTSggh8sYxCt8mSuDi4sI/9vb2ppSbhBBCChUHBweEhoZmuVx8epVZMHVWy7J7jXg5x3Fqf9G4Y8cOjBgxAhzHITY2NsvZWlpaWuA4DpUrV8arV68AAIGBgejZsyd+//4NIK3PWrduje3bt8PGxkbq9R4eHpg2bZpa9WlISAgcHBykjkncT8HBwbCzs8t0nVevXuGvv/4Cx3FISUmBlpYW3z9Vq1aFr68vmjdvjh8/fkBLSwtr1qzB6tWrUaVKFZw8eRImJiZwcXHBnj17YGBggFevXqF8+fJK7AnlEPd1yZIl0a1bt0zXEQqFSE5ORlJSEuLi4vD7929ERETg58+fUhlMgP99FpiYmGDcuHGYOXMmTE1NFX4chGQlKSkJurq62ZY0//jxI+7evYtq1aqhSpUqdJ1XwCIiImBubk5l9gghhBSYT58+oUKFCgDSsm5kVVI7r8LCwlC+fHlwHIf69evj9u3bct2+so0YMQI7duxQ2kRsbW1ttQzk+/r1a67KjFlYWCA2NlZqfCE/4uPj1bLMWExMDMLDw/nf1TXjFSEk9wIDA/H7929wHIeuXbsquzkaJTExkZ80XLp0aaxfv165DSKEaAQaeSRKkd8ZQYQQQoiqyC5ePy/LKP4/b86ePYvevXsjKSkJjDEYGBhg5cqVGD9+vLKbphTpM+V16NABenp6md5AkJwxn5qaCi0tLf59yBiDvb09Tp8+jcaNGyMpKQlLlizB/v370bx5c37256JFi3D48GEkJSVh7NixOHv2rAKPTrWVK1eOz9CQG9++fcPdu3dx8eJF+Pj4IDo6GkBayawVK1bA29sbHh4eGDhwoJxbTIhsZCn1U758eY0MMlUVlLGTEEJIQdPV1eUnWGSWETW/xOfE6o7GAeSLyowphpmZGczMzJTdDEKICmrUqJGym6CxDA0N4ePjo+xmEEI0DAWZEUIIIYTkgTizWEBAgNTzq1evxrlz58BxHK5evSrTMqFQiDZt2oDjOFhaWsLHxwcikQhCoRACgQAJCQmIiorCt2/fCuTYCiN7e3uYmppCIBDA1tYWvr6+Gl2iLSQkBMD/smF9+PAhy3UlU/cnJyfzaeuBtDKOAFCnTh0sW7YMU6ZMQVRUFDw9PdG+fXv+dWXLloWLiwu2bduGCxcu4NixY3B2dpb7cRUG4j7LLWtra/Ts2RM9e/bExo0bsX//fqxYsQLv3r0DAISHh2PIkCHw9fXFrl27FHITjxBCCCGkMLp79y5fOnDMmDFo3LixwvYVHx+PK1euZJm5VtNYW1vjxIkTCtt+VFQUAPUNwqIybopDZcYIIYQQQghRDAoyI4Vaamqq2qWdJoQQorrEgWWSmjVrJvX7/v37c71MckBTT08PLVq0kEt7NYmdnR0uXLiAefPmYe/evShSpIiym6Q0ub0BExMTI/XY2NiYD5SSzHI2YcIEbN++HcHBwbhw4QIOHjyI/v3788unT58Ob29vCIVCjB07Fs2aNUPx4sXzeTSFg0gk4h/Lo9yMvr4+hg8fjqFDh2LDhg1YuHAh4uLiwBjjZ+QfP34c1atXz/e+CCGEkPTEAeUAYGRkhKlTpypsX7dv30ZsbCzatWunsH2oEgqGUozw8HAcPnwYHMcpfKLDnj17MHv2bFy4cAENGjRQ6L5I2mSW5cuXA0jLTqVuOnXqhE6dOim7GRotNTUVvXr1AqCe7zFCCCGEEELkTUvZDSAkL1JTU3Hu3DnUrVtX2U0pNH7//q3sJhCSJ/TeJarg58+fcHV1xdChQ5XdFLUVGhqa723UqlULZ86ckSnATB1nbNvY2CAwMBBPnjxBaGgoPnz4gM+fP+Pbt2/4/PkzPnz4gJCQEDx+/Bg3b97kX1ehQgWsXr0aq1at4st6JCUlAQASExP59bS1teHh4QEgLZBt6tSpiIuL45eXL1+eH5wPDw/HunXrFH7MqkIye5k8gszE29TW1sbkyZMRFBSEv//+m1/2/v17NG7cGJcuXZLLvgiRp7CwMLRt2xZt27ZFu3bt+M8TQkjhERcXhwULFmDhwoXYsGGDQvd14sQJ9OnTJ0N2YHUlDoY6cuQIfv36pdB97dmzB0OGDMHdu3cVuh9VIJn5SdGl3DZt2oSYmBg0b94cs2fPRkJCgkL3p+lsbW0xY8YMzJgxg8rGE4UQlxnz8fHB+vXrld0cQgghhBBCVB5lMiNK5+fnB19fX7x+/RrR0dFSmSAyIxKJEB4erpY3hxVlxowZ8PPzQ1BQEPT19ZXdHEJkRu9dogo2bdqEuXPnIjY2Ftra2pg/f76ym6RWUlNTMW3aNGzcuBG7du0qsP3KI6hN1RgYGEgFIsmqYsWKmDJlitRz4ptl6W+adejQAba2tnj//j2KFi2KpKQkmJiY8MsnTpyII0eOYMaMGVi8eHEejqJwkuynvJbLBICIiAj4+/tj5cqVsLKywsmTJ6GtrQ0bGxvcuHEDkyZNgqenJziOQ1xcHEaOHIm3b99CR0czLuusrKz4gCVvb2/07NlTyS0imRGJRLhy5QqAtJK9enp6Sm6R8gQFBaFevXowMDCAoaFhhlJYmT2Xm3XFz5mamqJkyZIwNzdX9iEXGOpbxTIyMgKQFlQu+T2vCKdOnUJsbCzatm2LUaNGYdOmTQrdn7IpKxhq8uTJmDt3Lv9/q250dXX5x4o8L9q/fz+Cg4PBcRySk5Nx6dIlLFu2TGH7I4QQQgghhBBCVI1m3I0gKikqKgo9e/bEjRs3+OfSl3eSLEmWWemn9CXLiLTU1FS4uLjgwIEDANLKXP33339KblXhIs5GoqWllelAZVxcHE6dOgUg7f34zz//FGj71BW9d4kq+PLlCwYNGoQbN27w30FCoZAv1UHyLyIiAj169EBgYCAYYxg+fDhat26dr22+efMGt2/fznCzmOM4pKamIikpCR8/fsTRo0cBSN+QIv/TsWNHlC5dGlpaGRMfDxgwAN7e3rh27RqKFi0qtax+/frYuXOnxmX9E2d0Y4zlK5NZcHAwhg8fjoSEBDx9+hQuLi7Yu3cvgLRzkQ0bNqBSpUqYOHEi9PX1ceTIEY0JMAPSzrWio6PBcZzCgx5I3kn+3+jp6Wn0NZv4MyE5OZkvTazI/qhSpQqmTJmCYcOGKWwfqoL6VrHEgUgcx/FZThXhwYMHePPmDTiOg0gkynHSoTqgYCjF0NbW5h+HhoaidOnSKFasGCwtLeW2j6ioKEyZMgUcx4ExBi0tLWzevFlu2yeEkMKCxssVi/pXcahvFYv6V3GobwkhqkZz7kgQldO7d29cv349w/PigWHGmFRgWWYBZ7KUw9JUiYmJ6NGjBy5fvsz3l7e3N59mnuTs7du3qFy5MgDgr7/+wrNnzzKsExMTg4EDB/I3O+nkLf/ovUtUwZcvX1CnTh2pcq2WlpaYPn06xowZg3r16imxdeohNDQUHTt2xIcPH/jnihQpku+MDrdv387VDWArK6t87U8Vbd++Hbdv3+azsBgaGuYrG+SiRYukfv/y5QscHR2xefNmMMaQkpKCxMREJCQkwNTUFKtWrcrvIRQ6+vr6GDVqFADA1NQ0z9tp1KgRTp06hU6dOiEpKQkHDhxA0aJFpUqPjh8/HoaGhnj37h3q16+f77YXJlWqVMGPHz8AAH/+/FFya0hWJLP0SD7WZOKABCDzyVPy8vr1a4wYMYIPhNAE1LeKIXnjQpGBUOLJG4wxaGtra0TfUjCUYki+T93c3PjHWlpasLCwQJkyZVClShVUqVIFlStXRpUqVeDg4JCrc+Rp06YhPDwcHMeB4ziMHj1a487FSOHy/v172NraKrsZakmT+5bGyxWL+ldxqG8Vi/pXcahvCSGqiILMiFKcOXMGV69e5Qe86tSpg8GDB+P+/fs4cOAAOI7D4MGD0aFDBwBpA2Tz5s1DREQEOI5D06ZNsWDBAhrMyUJUVBQ6duyI+/fvgzHG93P37t0xYsQIfr34+HgYGRnlacY3Ywzx8fFqnUXCxMSEv1GRVZkfcTAEY0zhpS40Ab13iaooU6YMatWqhUuXLkFLSwvjxo3DwoULYWFhoeymqYVHjx6hY8eOfBAfYwy9evXCtm3b4Ofnx2cZy6vc3GTu3bt3vvaliu7fv489e/YoPHvQ1atXMzxXuXJljQwyK1GiBLZu3SqXbbVo0QJHjx5Fr169IBQKsXHjRhQvXhyzZ8/m13F1dZXLvgqbli1b4tq1awCAhw8fquXfrzoQB1BwHCcVTKHpmjZtim7duvHZt1JSUvjH6X+yW5Z+eXR0NAQCAYD/BVwtWbIE48aN05hy89S38if5tysSiZCQkCD3MouvX7/GyZMn+fOVXr16oWLFinLdhyqiYCjFkMy+K3ktkJqaioiICERGRiIoKEjqNbq6uqhVqxYaN26Mzp07o0mTJplm8QWAI0eOYOfOnfz7tVatWli7dq0CjqTwiIyMxN69e2FmZgYDA4MsA1IZYxAKhUhMTERMTAxGjRql0AyJJE1oaCiaNm2Kp0+folSpUlmuFxkZicmTJ6NPnz7o2LFjAbaw8NL0vqXxcsWi/lUc6lvFov5VHOpbQogqoiAzohQHDx7kH/fq1Qs+Pj4AgJSUFPj7++Pnz5+IiopC3759+fU6d+6M1q1bIzQ0FDdv3kRYWBiaN29e0E1XeV+/fkXbtm0RHBzMP8cYw7JlyzBz5kz+uZ8/f8La2hpA2gCynp4edHR0oK2tDS0trQyZ40QiEVJTUyEUCpGcnIzU1FRwHAehUFhwB1fADA0NAaTdUMhqQFf8PMdxWZ7glS5dGvr6+nzJNn19fb6ftbW1+RJu4p/k5GQIBAIIBAIkJSXhy5cvijlAFUPvXaJqtm/fjo4dO8Lb21vtb8oUtBMnTvA3vnR0dLBp0yapQNL8sLCwQLVq1fjPW/GP+MaHjo4ODAwMYG5uDnt7e7Uue6XIjC5E2sGDB9GtWze53TDr3LkzduzYgSFDhoAxhnnz5qFo0aJ8tjRNNXDgQCxcuBAikQhHjhzBkiVLqOStHDg4OCA0NDTPr09/XiV5k5mCzP6nevXqmDRpkkK2/fjxYwwbNowPoIiJicH9+/fRpEkThexP1VDfyp9koM2jR49gamoKIyMjlCpVCjY2NqhUqRIqVaqEGjVqoHbt2hnKZ8ti4sSJ/LmKsbExVq9eLbf2qzIKhlKM9P2hra2N1NRU/vfMzouTk5Nx//593L9/H2vXroWlpSUGDhyIUaNGwcHBgV/vxo0bGDZsGB9sWqJECRw7dizLMSBNER4ejsmTJ+d6Yku/fv0oyCwHQUFBsLGxgbm5OZKTk/HixQsAQPHixVG2bFmZtrFgwQL8+vULffv2xYULF/gxTkl+fn4YPXo0wsPD8f79e7UKhMoK9W3+0Xi5YlH/Kg71rWJR/yoO9S0hRBVRkBlRiocPH/KPJ0+ezD/W1dVFp06dsGPHDvj7+yM1NZW/MVGmTBns27cPjRo1glAoxOTJk9GtWzeYm5sXePtV1bt379C6dWt8+vSJH/ziOA4zZ86UCtIREw+yCYVCCrjJhOQJW1alfmQpI/L9+3ep/w9Z5Xb9wozeu/Ln7+8PExMT/oJBV1cXOjo6BfKe4jgORYoUKfQDx2XLlkVQUFCOfXbz5k2pmxbfv3+XaZkmW7JkCb5//w4/Pz8cO3YMLVq0yHS9AwcO5DpTSLdu3dCtWzd5NLNQ4zgOI0aM4LPCZufr168YN24cOI7DpUuXclyfMYa2bduC4zjs2LFDajC+sP/d51ZkZCRGjBgBPz8/DB06FDt27JBa/u7dO+jo6PDBjnp6etDX15ep9NjAgQMRFhaGuXPngjGGcePGwczMTKNT3pcvXx4uLi7w9vbG58+fsWjRIixevFjZzVIL8gxKlbzRT0FmBaN27dpYtWoV2rdvz5+3BAYGqn0gVEGgvv3f50N8fDzev3+P9+/fIyAgQGqdChUqoFWrVmjbti06dOiQY9YzT09PXL58me/TefPmyXxzv7CjYCjFkLxmu3XrFho2bAihUIiYmBj8+PED3759w4cPH/Dhwwe8fv0az58/x4cPH6T6OzIyEp6envD09ES3bt2wYMEC3Lt3D5MmTYJAIABjDEWLFsXly5dRvnx5JRyl6pL1PELy/8nNzQ179uyBiYkJf36c1bW3OBuaUChEQkICEhISkJKSIpe2q5oLFy6gb9++aNeuHY4ePYofP36gbt264DgOY8eOxcaNG3PcxuXLl3H48GFwHIdbt26hY8eOUp/bCQkJGDduHPbs2cP/3wUGBmL+/PlYuHChwo5N2ahv5YPGyxWL+ldxqG8Vi/pXcahvCSGqiILMiFL8+PGDf1ylShWpZU2aNMGOHTuQmJiIly9fonr16vwyJycn9OrVC0eOHEFUVBR27typsBnLhc3Lly/Rpk0b/PjxI8MXfsmSJbN8nXjdnAaE0meH0gSSJ2NZBTlI9ossN9E0pe9yg967itGmTRuln/zXr18fXl5e+Ouvv5TajvzIrg/FyzLLqpndMpJm06ZNmD17drZlkUaPHp3lMvFFMcla9erVZQq4CwkJ4R+3atUqV/to2LAh7O3tc902dXD16lUMGjQIP378AGMMu3fvRqdOndCzZ09+nQYNGiAyMjJf+xF/nqSmpmLIkCEwMjLS6EDKNWvW4ObNmwgJCcGyZctQqlQpjB07VtnNKvSyO6+S9ZyLyFdMTAy2b98OHR0duLu757h+tWrVpH6XnNhFpFHf5o7kOVdWnwMfPnyAt7c3vL29YWhoiI4dO2Lo0KHo0KFDhvPpS5cuYcqUKfzzTZo0wZQpUxR7ECqEgqHyLjY2Fj9+/ICdnV2GZZldt+no6KBIkSIoUqQIHB0dMyz/8+cPbt68iatXr8LX1xefP3/m+/nkyZM4efIkgP+970uVKoVz585l+EzQBDExMdmWXmrWrFmO27h+/XqG58TZMbIat8nqHETZYx2KsmPHDowZMwYpKSnw9fXFhg0bMGDAAH65iYlJjtsIDw+Hq6ur1E3kGjVq8MuDgoLQt29fhIaG8ssZY+jatavUvtQN9a380Hi5YlH/Kg71rWJR/yoO9S0hRBVRkBlRiqSkJP5x+i/FWrVq8Y+fP38uFWQGAP3798eRI0cAAGfOnKEgMwD3799Hx44dERkZyV/A6urq8rP6oqKictzG/Pnzs10unm3FcRymTJki08V3YSd58pbVDIHcKFasWLY3QRcuXAiO41CnTh106tQp3/srDOi9q1jKvli4e/cuunbtijdv3qh1JpPc3JBX18HwvDA0NMw2wCw/79979+7BxsYGpUqVyvM2CMmKSCTC3LlzsWrVKohEIv7vumTJkpkO9uT3s1i8fXFJwr59+8LX11djzhXSMzMzw6VLl9ChQwe8evUKEyZM4DO75KVcG0kjvhGWPjvR6tWrce7cuWyXEfnbvXs3Ro8ejZSUFGhra6Nu3bpo1KhRtq9Jf/P/8+fPimxioUV9m3uNGjXC5cuXER4eju/fv+PTp0/48OEDgoOD8eLFCwQFBUmN8SQkJMDX1xe+vr4oU6YMJk6ciJEjR8LY2BhXrlxBz549+cxdNjY28PX1VbtrBQqGUoxLly5h+PDhWLp0KUaPHp3v9425uTk6d+6Mzp07Y+3atbh+/To8PDxw5swZAP/rT47jUL16dZw+fRplypTJ93EUNiKRCDVr1kSPHj2wePHiTDMVis8R7t69iwYNGmS6naxKvGY2eSiz62l1D3rftm2b1Jhh48aNMXjwYKn3eU5ZvpOTk+Hs7IzPnz+D4zhwHMdn5ASAXbt2Ydy4cRAIBPxrypQpg23btsmUAbuwor6VLxovVyzqX8WhvlUs6l/Fob4lhKgkRogSFC9enHEcx7S0tNj79++lliUlJTEdHR2mpaXFZs+eneG1nz594l9rbW1dUE1WWTdu3GDm5uZ8n3Acx7p37862b9/OP+fu7p7hdT9+/GAcx/Hr5ERy3Z8/fyrgSFST+Jh79+6d4zoODg55Wp5+PTc3t3y1ubCg965iSfZrdj9aWloyr5fTOpmtr6WlxY4dO6bs7pA7R0dHZmJiwooVK8asra2ZjY0Ns7W1ZXZ2dsze3p5VqVKFVa5cmdnb2zM7OztWoUIFVq5cOVayZElmYWHBdHV1pbYnFAr5/ipVqpSSjko1XLx4kfXs2ZMNHjyYjR49mo0bN45NnDiRTZkyhU2cOJGNGzeOubm5sSFDhrDevXtn+MxMSUlhpUqVYtra2szJyYktXryYvXjxQklHoxyurq5MS0uLbd68Wab1g4ODZf5MFROvHxISktdmFko/f/5kzZs3z/CZ6OLiwqKiojKsX6xYsVx/fsry2WpgYMA+fPhQ4MevbJ8+feJ/nj9/ztq3b8/3S5EiRdj8+fPZmzdvpNbL6kfTpKSksD59+rB3795lWFalSpUsPwNcXV1zvUzyO83Kykp+B1EIPX36lO+L8ePHy/y6lJQU1rhxY/5vv3z58iw6Ojrb1yQkJEh9TpQtWza/zVdp1LeKJz7mJk2aZLteSkoKu3//Plu+fDlr3Lhxhu89LS0tVrJkSTZhwgSmr6/PP1+iRAm1PUc7duwYMzc3Z5s2bWJCoVBq2cOHD/l+CQwMzNP2r127xrp06ZLhOk1LS4vVrFmTff78WR6HoXKGDx/OH6etrS3buHEji42NZYzlv1+/fv3Kli9fzuzs7DJcJ2tpabExY8bI+3AKjePHj/P9UK5cObZnzx6WkpKS4RoiISGBGRoaskqVKrH169ezP3/+SG1HvO7Xr18ZY4yNHj2af+7u3bv8z4QJEzI8P2nSpAzPqZMjR44wbW1t/m95yJAhLDk5mTHGWGJiIn/sS5cuzXIbAoFA6tyY4zhWpkwZvr+nTJki9Z7mOI4NGjSI/xtSV9S3ikHj5YpF/as41LeKRf2rONS3hBBVQ5nMiFI4ODjg5s2bAIDz589jzJgx/DI9PT3Y29sjODgYT58+zfBacRYixhgiIiIKpL2qyt/fH927d0d8fDw/88/NzQ2bNm3C1atX+fVkyQZFSEGi927BmTNnDlxdXTNdxhiDra0tOI7Dv//+CxcXl0zXGzNmDM6fP4/KlSvjwoULOe4zLCwMXbp0QWxsLADAz88PvXr1yvtBqKCXL1/KdXtMYjY2U9OZ2bJq27Yt2rZtm+fXnz59Gj9//gTHcXj06BEePXqE+fPno1KlSnB2dsY///xTqEu4qhpOg7LzJSUloUGDBvj06RP/XJkyZbBz5060bt0629eWK1cOe/bsyfO+o6OjsWfPHvj5+UFHRwebNm1Sq/JXsipfvnyG95z4PCIqKgqLFy/G4sWLc9wO9/9Z4TTJvn374OPjg9OnT2PGjBmYOXNmjhkbSMHz8PDAoEGDUKJECRw7dgy1atXCz58/ERYWhpEjR/IZvTOTkJAAIO08okSJEnByciqoZhcK1LeKo6OjAycnJzg5OWHmzJn4/v07duzYgf/++w9fv34FYwy/fv3Cpk2bpDJtXblyJdOsXerg/PnziImJwYQJE7B27VpMnDgRLi4ucsmq/e3bN9y5cwfBwcH8c5xEJqiGDRuqZbat2NhYHD16lD8P+PDhAyZOnIg5c+agX79+qFOnTq62JxKJcO/ePVy+fBmXL1/G3bt3IRKJAGTMrMUYw7Zt22BnZ4eJEyfK7ZgKiy1btvD9/vnzZ7i4uGDWrFno3r271HoXLlyAQCDA+/fvMXnyWkzFEwAAsVpJREFUZMydOxcDBw7E5MmTM83qJ6l+/fr841u3bmV4/u7du5muqw5evHiBQYMG8Vll3d3dsXbtWn65ZLatrLL3ffv2Dc7Ozrh37x7//i1ZsiQuXboEa2trAGklTdetWweO42BgYIAtW7ZgyJAhij04JaO+JYQQQgghRDEoyIwoRevWrXHz5k0wxjBnzhw4OjqiefPm/PLatWvj9evXuH79Ov78+QNzc3N+2bNnz/jHmaVo1xQfP35Ely5dkJSUxA/2jBs3Dhs3bgQAFClShF+XAnWIKqH3bsGytLSEjY1NjusVKVIky/XEn7W6uroybcvGxgaNGzfmS2g9ePAgFy3WTOJgB8YYXy6W5E18fDxq1aqFZ8+e8TeKAODt27dYsWIFVqxYAUdHRwwbNgwDBw5E8eLFldhaxWGMYcWKFfD29s5xXckSV7Vr187Vfrp3754hUEVXVxf37t3L1XYKA319fbi6umLu3LkAgDZt2uDAgQMoVqxYjq81MjJCs2bN8rX/bt26Yf369ShdujR69+6dr20VdkyifJXkv5LLyP+IRCKsWLECHMdBIBBg0aJF2L17N9asWaN2QeCF1c+fPzFgwAAEBATg+PHj8Pf3R8mSJXH48GG0bt0aqampOHbsGHbt2pXlpADxtXXfvn0pmFoC9W32fv/+LdP3WG5YWVlh7ty5aNeuHbp164afP38CkP7sPnr0qNoGmFEwlGIEBgZCV1c3w/HGxcVhx44d2LFjB//8169fpV6bkpKCJ0+e4PXr13j27Bk/ESUxMVFqW2LGxsYYMGAAhg8fjpkzZyIgIACMMUybNg0ODg5o166dAo9UtcTExCAyMhI6Ojr8dSpjDD9+/MC2bduk1r1z547UezI+Ph5eXl7o27dvjkFmmuyvv/7ChAkT4OHhAVdXV6kgKEC6RFZmJUd9fX0xduxYhIeHA/jfZMKzZ8+icuXK/HpdunRB//79cePGDfj5+aFWrVoKOiLVQX1LCCGEEEKIYlCQGVGKYcOGYcWKFRAIBPjz5w9atWqFwYMHY9euXQCADh064MCBA0hMTMTgwYOxc+dOFC1aFN+/f8eUKVMApA2mqeugpCzKly8PT09PjB49GiKRCMOGDeODdAAK1CGqi967mkFfXx+Ojo4YNGhQroNWNJE4yIfjOAoyy6eBAwdi4MCBiI6OxtWrV3Hy5EmcO3dOKvvpy5cvMXXqVIhEIv68Qh19/fo1w022rIhvhEoG88uyvmQWDSBt4F1ysF7dzJw5E6dOnUL79u0xf/78HDO5Sd68lAd1u2GcF5T5MfcuXbqEN2/eAPjf3+6nT5/Qp08fNG3aFNHR0UpsHbl27Rr69euH8PBwMMZw584djBgxAvv27UPTpk2xcOFCzJkzBwDg7u6OJk2aoFKlShm2U6xYMZky+WkS6tucjRw5En/+/MGyZcvkkh1IKBTizJkz2Lp1K65cuSK1TPz5I85iHRAQIPcAN1VAwVCK0b59e0RERCAkJAR37tzBrVu3cPr0af7vG/jfe6xfv35Yu3Yt3N3d0bt3b4hEInTp0gW/f//mt5f+HMLU1BTt2rVDly5d0L17d5iamgJIy5LcsGFDPH/+HKmpqRg0aBCePHmC0qVLF9CRK5eZmRkePXqEhIQEBAYG4uLFizh79ixCQkIyrLtq1SqMHz8eBw8exLZt2/Dp0yfUrVtXalIxydzq1atRvXp1DBw4MMMyyesNycd3797F/PnzpT5rGWPo0aMHvLy8ULRo0QzbWrlyJXR1ddV2olVmqG8JIYQQQgiRP/W9A0RUWunSpbFkyRJMmTKFn+UmOUDRvXt3FC1aFJGRkThz5gysra1RpkwZfPnyRaq0TdeuXZXRfJUxfPhwREZG4vbt2/Dy8pJaZmlpyT+mQB2iaui9q/5mzJiBevXqKbsZhUZ8fDyAtIFLcUkmkj8WFhbo2bMnevbsCZFIhMuXL2P37t04efIkBAIBzMzMMHr0aGU3U6Ekb7jp6ekpZB8ikQgikQipqakK2b6q0dLSwo0bN2TuT3kHmWm6Dx8+KLsJhVL79u0REhKCPXv24MCBA3zJV8YYbty4oeTWqYfAwEBMnjwZq1atylXWwsOHD8PFxQXJycn8c4MGDcK6dev432fOnImrV6/C398fcXFx6NOnD+7evauwz3VVQ32rOEKhEFevXkVsbCwaNmyIdu3aYd68efj7779ztZ3U1FTcvHkTx44dw5EjRxAZGQlAOojH0NAQZcuWRWhoKDiOw8uXL9GmTRvcunULxsbGcj0uZaNgKMWqXLkyKleujKFDh0IkEuH69evw9fXFiRMn8P37d369+/fvY8CAAZgzZw7+/fdftGjRAkePHuWXW1tbw8nJCY0aNULDhg3h5OQEXV3dDPszMjLCyZMnUbt2bURHR+P379/o378/rl+/XiDHqyqMjIzQpk0btGnTBmvWrEFwcDB27tyJNWvWSK1XtmxZzJgxA1OmTMH+/fulKlOQ7A0aNCjHdX7//o1t27bhwIEDuH37NoD/fUaUKFECnp6e2WY8Fpd31DTUt4QQQgghhMgXBZkRpZk0aRKio6OxdOnSDINmRkZGWLhwIcaNG8dndRHfVBIPxpUoUULtbw7LYtq0aUhJScmQScPMzAxaWlpgjFGgDlFJ9N5VbxRgljs6Ojpwd3fnfxcKhWqdDaqgaWlpoV27dmjXrh1+//4NT09PcByndjc1xVatWoUlS5bAwMAABgYGGcpZKopAIIBAIFD7QElZgw8SEhIo05acyVKymWTOzs4OS5YswZIlS+Dv748NGzbg3LlzEIlEOWbkIzk7deoUHjx4gJYtW6JevXoYN25cjqVIPT09MWnSJDDGwBiDiYkJvL290adPH6n1OI7D3r17Ua1aNURFReHZs2eYMGFChjJl6or6VnEuXryImJgYfuLfxYsXcfHiRbRo0QKzZs3K8nUpKSl49uwZ7t+/j6tXr+LKlSuIjY0FkDEgyt7eHiNHjoSLiwsMDAzQuXNnBAQEgOM4BAUFYcCAAfDz81PkYSoNBUMpnpaWFlq0aIEWLVrA09MTFy9ehJeXF06fPs1PgPjw4QOGDRsGHR0d2NraYv369ahfv36usg3Z2Nhgy5Yt+Oeff8BxHG7duoX169drdIbZKlWqYPjw4XyQmWR2ekkxMTFZLiPA7du3ce3aNRQtWhSmpqYwNDSEgYEBdHV1oa2tDW1tban1V69ezT8Wf96amJhg9OjRmDlzplRlAFn9/PkTGzduxPTp09UqKJD6lhBCCCGEEMWhu5dEqRYuXIguXbpg06ZNGTI9jBkzBp8+fcowK44xBjMzM/j6+sLMzKwgm6uyMhtgBNKyuERGRlKgTh6JRKIMv+/Zs4e/aS/+EUtISKBsELlE711C0pQoUUIqswZRnGLFimHhwoXKboZCSWaELEji70ULCwul7F/V6Onp4fTp0wDSblAQoipatWqFVq1a4d27d1i/fj22b98ule2J5N7Jkyf5QJ379+9j8ODBGDNmTLblB//++2+Ympriz58/sLOzg5+fHxwcHDJd18rKCuvWrcOQIUMAANu3b0fz5s3Rr18/hRyPKqG+VRx/f38AGcsQBwQEICAgINPX/PnzB6VKlZL6zEgfWGZhYYE+ffpgyJAhGbKinT17Fl27duVLkJ0+fRpz587FkiVL5HJMqoqCoRSP4zi0b98e7du3x8ePH7Fu3Tps374dAoEAQNoknvfv32PevHm4evVqrrfft29f+Pj44Pjx4wCAf//9F87OzihTpoxcj6OwmjRpkrKbUCjduXMHc+fOlSngP/1nrbGxMaZMmQJ3d/c8Xf8lJSVh9erVWLlyJRISEmBkZMSXkFYH1LeKQ+PlikX9qzjUt4pF/as41LeEEJXECFFxDx8+ZJMmTWIdO3ZkXbp0YfPnz2ffvn1TdrMKhYoVKzKO45iWlhYTCARSy378+ME4juOX50Ry3Z8/fyqqySrh0aNHbNKkScza2po/5t69e7O4uDj+d8kfyb7J6ofjOObg4JDtfsXbcHNzK6AjVV303s0/8TF7eHjItN6GDRuyXMfZ2ZlxHMeqVasm72YSQgghRMmqVKmS5XmVq6trrpcJhUL+eSsrK4W1W1X8+fOHOTk5MR0dHf68M7PrA0dHR+bn58dEIhH/2ocPH7Lu3buziIgImfbVtm1bftvGxsbs4cOHijoslUB9q3g/fvxg+/fvZ87OzszExCRDH3Mcx0xMTNi///7LoqOjGWOMGRsbS10HcxzHrKys2IgRI9i5c+dYcnJytvtMSEhg1atX57ehra3Nrl69WhCHq3I+fPjAJkyYwAwNDaXe1xzHsZo1a7LIyMg8bbdXr178/42pqSn7/PmznFteOHz9+pW5uroybW1txnEcmzBhAgsPD8/X9szMzPj/p969e8uxtYVPcHCw1GeFLD9aWlrs69evjDHGRo8enel5xJo1azI8v379epnHgAqTWbNmydx36T8jtLS0WIsWLdjZs2dzvd8bN24we3t7qf+7IkWKsD9//ijgKJWD+lb+aLxcsah/FYf6VrGofxWH+pYQosookxlReXXq1EGdOnWU3YxCSTKTSFRUFEqVKqW8xqg4gUCAnTt3wtvbG8+ePQOQcSZbVmSZFUdyh9678jN//nysWLEix/WyyyAgLn/z8eNH9O3bFzY2NqhWrRrq1KkDR0dHubaXEEIIIcqT/nv9x48feVom9vv3b35ZamoqhEIhUlJSIBAIEB8fj/j4eHk1XWnMzMxw//59xMTE4Nq1a7h69Sr8/f3x8uVLMMb4a4Xg4GD07NkTNjY2GDt2LIYPH446dergxIkTMu/rv//+w19//YXExEQkJCSgW7duuH//PqytrRV1eEpFfat4JUuWxIABAzBgwAAkJibCx8cHe/bswbVr1/g+TkhIwJIlS+Dp6Ynp06ejRIkS+PLlC+rVq4f27dujQ4cOuRqzMTQ0xIkTJ+Dk5ITo6GiIRCIMGjQIQUFBeSpHVpiVL18eGzZswIwZMzB//nzs2rULIpEI48ePx7x58/KcnXbjxo24fPky4uLiEB8fj8mTJ0uV4FQ3YWFh+PjxIwCgVq1aMDU1BZBWanT79u0YOXIkIiIiULx4cdy4cQM9e/bM036sra0xffp0zJs3DwDg6+uLGzduoGnTpnI5jsJs/vz5Oa6j7tmk8+LHjx8oW7YsTE1Noa+vD21tbWhpaYExhtTUVKSmpiIlJQWvXr3is3oC/xuHvH79Oq5fv44qVarAw8MD7du3z3Z/ycnJmDFjBjw9PaXGPE1NTTF48GAkJSUp7mALGPWtfNB4uWJR/yoO9a1iUf8qDvUtIaTQUEJgGyEkj5KSktjRo0dlXr9ly5Z81PmrV6+kllE2KGkCgYAVKVJEataa5GPJGQK5/aEZAvTeVYb07+OcZmtmt152s1+srKzY8OHDmb+/v7IPmRBCCCF5UKVKlRxnumZ1PpDVspzOIdQxG0l6ISEhbMGCBczBwSHT8ypjY2M2ffp0mTNtiS1dulTqGqNJkyYKOgLVRX2reCEhIWzcuHHMzMwsQx/r6OiwRYsWsaSkpHzt4+zZs1L/b3369JFT61XXp0+f2PXr19n169dZTExMhuX3799n58+fZw8fPmS+vr752teSJUuk/t+uX7+er+2pshUrVvDvo6yyEG7ZsoUZGBiwokWLsl+/fuV5XwkJCcza2pr/nKhbt26et1VYBQQEMIFAIJXJLDNxcXHsy5cv/O/idSmTWe6kpKTwxz5q1Cg2Y8YMZmNjk+m4Ta9evVhYWFim24mMjGRVq1aVOk/T19dnU6ZMyfX3pbqgvs0ZjZcrFvWv4lDfKhb1r+JQ3xJCCgstZQe5EUJkt3XrVgwYMADHjh2TaX1zc3P+cVRUlKKapRb09fXRr18/flYAY4yf/SpmbGyM0NBQfP/+HXFxcRAIBBAKhRCJRNn+MIlZ9pqK3rvKwRjLcaaLeJ3s1pNcR3Jdxhh+/PiBXbt2oU2bNqhYsSI2b95caGdoKsPDhw/x4MEDCAQCZTdFrVC/Kg71rWJR/2bv4sWLEIlEym6GWsvqOz+3y7J7TU7nJurC3t4e8+fPx6tXr/D48WOMHTsWxsbGfB8kJCRgzZo1sLW1xaJFixAXFyfTdqdOnQpbW1swxtC+fXscOHBAwUeieqhvFc/e3h6enp74/PkzlixZgpIlSwJI+5sWiURYsGAB7O3tcfDgwTzvo2PHjvw1OGMMx44dw+nTp+V1CCrp0KFDaNGiBVq0aIHQ0NAMy52cnPDhwwc0btwYI0eORHh4eJ73NXnyZFhZWfEZeqZMmZKfpqs0CwsL/rtFciwBAOLj49G/f3+MGzcOSUlJiIqKQp8+fWQ+nwgMDEStWrXw+/dvAGmZ+CZNmsSP8zx+/Bg+Pj7yPSAV9efPHwwbNgytWrXC6tWrs1zv27dvmD59OsqUKYPp06cXYAvVU0pKCv+4QoUKWLFiBT58+IATJ06gWbNmAMD/nZ84cQKOjo7YtWtXhu1YWlqiTJky/N9Ko0aN8OTJE6xZs0bjskiKUd/mjMbLFYv6V3GobxWL+ldxqG8JIYUFBZkRUkh8/foV8+fPh1AoRP/+/bFz584cXyN58kGBOjnr3Lkz9PX10b9/f1y8eJEfRJRUqVIllCxZEkZGRtDT04OWFn2M5oTeu8qxaNEirFq1Chs2bMCWLVvg5eWFnTt3Yvfu3di7dy/279+PAwcO4ODBgzh06BAOHjyI/fv3Y9++fdi9eze2b9+OrVu3Yt26dVi+fDlmz56NMWPGoGvXrnB0dMxwQcIYw4cPHzBhwgRUrlxZrcux5EZERASWLVuGNm3a4NChQxmWz5s3Dw0aNEDRokXRv39/vHv3TgmtLHyoXxWH+laxqH/zp0OHDihdujQmT56MR48eKbs5akU8gBkQECD107FjRwBpN9hkXXb58mX++SJFisDf3x+XL1/G+fPnceLECRw4cACbNm3CrFmzlHOwSlCzZk0+YGfx4sVSpeBjYmKwcOFC1KhRQ6agBz09PWzatAlbt27FuXPnULZsWUU2XeVR3yqWmZkZZs+ejY8fP8LDwwMlSpTgg8LCwsIwaNAgtGjRAmFhYXna/rp162BmZsbfxB87dixiY2PlfBSqg4KhFMPQ0JB/rK+vzz9+8uQJateujSNHjvD9rqWlhaZNmyIxMTHH7d66dQsdO3ZEUFAQOnfuzL9m1KhRMDQ0BMdxmDNnDrp16ybnI1I9586dQ9WqVbFnzx4wxrBkyRIEBgZKrfP9+3e4ubmhYsWK8PDwwJ8/f3D8+HFEREQoqdXqQXISX2pqKoC0c6xu3bohICAAFy9eRLVq1fh14uPj4erqiuHDh/Pri23ZsgVmZmZYuXIlbty4AQcHh4I5CBVFfSsbGi9XLOpfxaG+VSzqX8WhviWEFAY6ym4AUS/Dhg0r0P1xHIcdO3YU6D6VgTGGQYMGISYmBhzHQSgUYsSIEfj48SMWLVqU5etMTEz4xxSok7OWLVvi/9i77/iq6vt/4O+bBAhTEBUFRdyj7l3cuKhaF25xS111tGJFpaJt3atqtVbqQKwDB46iYF1IxYGzLtwCylAB2QkkOb8/+OV+E+FKAjm5SXg+H4/78Oaecd/nxfGOc973fCZMmBArrbRSvktpMuy7+dO/f/9U1z979ux47rnnYujQofHoo4/G3LlzsyeHxo8fH0cddVQ88MADMXDgwOX2/6lnnnkmjj322Ow+/Otf/3qx8yVJEvPmzYuHHnoonnjiiXjggQfigAMOqM9SGxW5pke26ZJv3fjuu+/ipptuiptuuik22GCDOPbYY+Poo4+ONddcM9+lNTqL+xVr5VUbKt133321nlb1pFvz5s1j9913r5N6m4L27dvHxRdfHOeff378/e9/j8suuyx+/PHHiIjo06dPjQ8M9+zZM8UqGyfZpqtFixbxu9/9Lk499dS4/vrr45prrok5c+ZEkiQxatSo+Prrr6Nr1661Xm+nTp3ioosuin79+kUmk4mZM2fG2LFjY9ttt01hK/Lv55qhjjzyyPj8888X2wzVunXrn13vf//739hvv/1i9uzZsf/++8eLL74YLVu2jFNPPTUGDBgQpaWlcdFFFzXZZqhmzZpVu58kSVx33XVxySWXxPz587PT1l133bjvvvtiu+22i/POOy+ee+65+M1vfhPHHntstGvXrto6KzOdNWtWZDKZGDNmTPzhD3+IW265Jdq2bRsHHHBAbLvttvH73/++3rYzH0pKSuKss87K/liwcv/cc889o3379tXmHTt2bPzjH//IHhfIZDKx/fbbx5QpU6Jjx471XXqTUXUfrnrlrUp77bVXvPXWW/GXv/wlLr/88igvL48kSeKee+6JCRMmxOOPPx6tWrWKiIi11147vvrqq+jQoUO91d+QybZmHC9Pl3zTI9t0yTc9sgUaA01m1Kl77rmn3i+3uTw0mc2dOzfWX3/9ePnll6OioiJ7wObyyy+Pzz//PO65555o3rz5IstVPRCpUWfJWrRoUe1AL8vOvtswTJ8+PXvFnM022yx22mmnpVrPjBkz4qGHHoqIiI033jgOOuigOOigg+KWW26JW2+9NW644YaYOnVq9t/5ySefjLfeeisef/zx2GqrrepsexqDF198MQ466KDsgcqavjfOmzcvDj300Bg5cmT88pe/TLPERkmu6ZFtuuRbd6oOtfjJJ59E//79449//GN07949jj322DjssMMWOelJdVOmTImLL744FixYEIMGDcp3OcuVuXPnZu+fffbZccwxx0S/fv1i6NChcfbZZ+exssZPtvWjVatW8cc//jFOPvnkOPfcc+ORRx6Jk08+OXbZZZelXufpp58eV1xxRZSWlsawYcOabINZhGaotFRtIi0oKIjHHnssLrjgguznrSRJ4pRTTom//vWv0apVqygvL48HH3wwJk+eHGeffXb069cvjjnmmDjrrLPiF7/4RYwaNSrbtFf53faYY46Jq666Kvs8F198cWyyySb1vq31rUWLFjF9+vTs569OnTrFbbfdFgcffHB88skn1ebdfffdY5NNNolPP/00Tj311Dj33HNjrbXWqtHzdO/ePXt/0qRJizw+efLkao9lMplFrqTWVFW92lau4Z8LCwtjwIAB0aNHj+jVq1dMnTo1kiSJ559/Pvbff/8YNmxYtsm1KTZBLS3Z1ozj5emSb3pkmy75pke2QGPg+onUucqhE2p7+7nlc01bXrRu3Tpuv/32ePPNN2PHHXfM/iIwSZJ46KGHYs8998z+SruqqleDWtwlVSFt9t2GYd68efHb3/42zjrrrBg+fPhSr6ekpCROO+20OP300+PBBx/MPt6uXbu48MIL4/PPP48+ffpERGT/nb/55pv485//vMzb0JiUlJTEscceGwsWLMie2FhppZWic+fOi8x7+eWXx6BBg+LII4+MgoKC7BX/jj322EWGX1jeyTU9sk2XfOvO559/HgMGDIj11lsvIv7vu0FFRUW88sorcdppp8Vqq60WvXr1iqFDhy72igTLu7/97W+xwQYbxN133x0PPPBAfPnll/kuabkxffr0aNu2bbRt2zbatWsXX3zxRay00krxz3/+Mz755JPslTAWJ0mS2GGHHWLdddeNNm3axKhRo+qx8oZPtvWvc+fOMWTIkHj88cfj8ssvX6Z1tW3bNn7zm9/En//859hxxx3rqMKGKVczVGWDWWUz1Lvvvhvbbbddthnqgw8+iLPPPju6dOkSp512Wnz44YcRETFq1KjYd999sw1mSZLE0UcfvUgzVFNuMFucXr16xZlnnhlJkkT79u3j0UcfjTvuuCP7WvDQQw/FpEmTsp8j5syZEwMHDozNNtss9tprr2yDWURkh4YcPHhwtR/DLQ8NZhELv9ffd9990a1bt+jVq1d8+OGHcfDBB+ecf9CgQfHZZ5/FTTfdVOMGs4iI119/PXsbP3589jNz5WPjxo3LPvbaa6/Fa6+9tmwb1oAdcsghcdlll8UzzzwT06ZNiyRJYp111om11157iVc13HnnnePVV1+NLl26ZF8TRo4cGUccccRydRw9F9kCAEDdcCUz6tSpp55aq/mnTJkSjz/+ePbLWWFhYfziF7+IDTbYINq1axdz5syJr776Kt59990oLS3NHlDYeeedY6ONNkpjExq0LbbYIkaNGhU33XRTXHzxxTFv3ryIWPjL1Z122ilGjBgRXbp0yc5ftVHn+++/r/d6qW7u3Lnx8ssvL3G+iRMnVptvu+22i+Li4jRLS519N79WXHHF7P0VVlhhqddT9VeZi9snv//++9hggw3iySefjOOOOy5+/PHH2HLLLeP+++9f6udsjAYPHhwTJ06MTCYTBQUF8fe//z1OOumkxQ7TtNVWW8VWW20Vxx57bBx33HFxwAEHRFlZWXz11Vfx0EMPxdFHH52HLWiY5Joe2aZLvnVn7bXXjgEDBsSAAQPijTfeiHvvvTcefvjh+P7777ON7KWlpfH444/H448/Hu3bt4/DDjssevfuvdRX8Wwqvvnmmzj22GPj5Zdfzp4IKysriyuvvDLPlS0/WrVqVe0kZNWTmUsaBiOTycQvf/nLuOmmmyKTycTDDz8cO++8c2q1NjayXToLFiyId999N9q1axetWrWKoqKiKCwsrNU6dthhh6ioqIjvvvtuqWooKyuLsrKyOPjgg6N58+bx6quvLldX7qxshrr11lujQ4cO8c9//rNaA09lM1SlymaogQMHRo8ePeL1119fpBnqoosuqvYcTbUZ6v33348777wzrr766sVOv/baa2PatGlx1VVXxRprrFFt2h577BFPPPFEvPzyy/Hvf/87Pvnkk+xryAsvvJC9X1hYGH//+9/jlFNOSXdjGrji4uL473//u9gfSFSq7WtHVRp0qnv88cfjiSeeiIiF71G/+MUvYr/99ot99tkndttttyUuv84668QLL7wQO++8c3z33XeRJEkMGzYs/vWvf0Xv3r0XmX/ixIkxZMiQmDlzZlxyySV1vTkNimwbpuX5eHl9kG96ZJsu+aZHtkCdSCBP3nvvvWT11VdPCgoKkmbNmiV9+/ZNJk6cuNh5p0+fnvzlL39JWrZsmRQUFCTt2rVLnn322XquuGH57LPPkq233jrJZDJJQUFBkslkkq5duyZjx47NznP77bdnpx900EHVlp88eXKSyWSy05ek6rxTpkyp8+1pqCq3+bDDDlvmdSzt7ZNPPqnDLco/+266Xn755eSEE05ITjvttOScc85JLrjgguSPf/xjNoOePXsml1122VLfKtdz0UUXVXvet956K1lllVWSgoKCZPDgwclnn32WrLPOOskzzzyTpyTy54ADDsjmdMopp9Rq2bPPPju77KGHHppShY2TXNMj23TJN11lZWXJv//97+SII45IWrVqVe19v+pnsLXWWivp379/8vHHH+e75Ho3YcKE7Ht0ZS4rrrhictVVVyUzZ85MNtxww5yfq0455ZRaTysrK8s+vtpqq6W2XY1RYWFhNpsff/yxVsu+++672WU7d+6cUoWNl2xr75tvvlnm76p1fSssLMx3LHXuf//7X3LOOeckJSUlyYMPPrjId9N58+YlRx99dDJ+/PhFlp08eXLy5JNPJn379s2+Vv/0fS6TySRFRUXJwIED63vT8mLYsGHJzjvvnN1n7rrrrsXmWhsjR45Mdt5552r/P2QymWSttdZKJk+enMJWNA1jx45dZF9c0q2goCD59ttvkyRJkg8//DB54YUXkldffTV59913k08++ST5/PPPc94++uij5O23307++9//JiNGjMjz1qfnp5lWfY1s06ZNctxxxyUvvfTSEtfz0ksvJUVFRUlBQUFy1FFHVZtWUVGRPPDAA8kuu+ySFBYWJgUFBUn79u2T+fPnp7VZDYJs647j5emSb3pkmy75pke2QEOjyYy8mDp1atKtW7ckk8kkLVq0qHETwn//+9/syaOOHTsmEyZMSLnShq20tLTayZ1MJpOsvPLKyVtvvZUkSZLcd9992Wnbb799tWU16tRMXX94W9LBtp/O01Q/vNl303PPPfcs9gvD4g6iLc2tch2XXXZZ9jmff/75pF27dtnpzZs3T1588cVk6tSpeUwif9ZYY41sTq+88kqtlh0zZkx22W7duqVUYeMk1/TINl3yrT+zZs1K7rrrrmSPPfbINpws7rPWNttsk+9S690+++yTZDKZpLCwMDn77LOT6dOnZ6dpMqs/bdq0yWazYMGCWi+/+eabZ5cfOXJkChU2XrKtvapNZjVtEEn7VpPvd42FZqi6NXPmzGSbbbZZ5Hvplltuucy5VlRUJD179qz2/0Pl86yzzjrJF198kcIWNX6VTWbFxcVJ+/btk44dOyYrrbRStVvHjh2Tdu3aJS1btsz+f17ZZMbiVe5/K664YtK6deucn2d32WWX5OWXX/7ZdfXr1y9Zf/31k3nz5iVJkiQLFixI/vnPfybrrbfeYo8VDRkypD42MW9kW3ccL0+XfNMj23TJNz2yBRoaw2WSF3/7299i3Lhxkclk4oILLoiePXvWaLkdd9wxLrzwwrjkkkti+vTpcfPNN8c111yTcrUNV/PmzWPgwIGx5ZZbxtlnnx0RET/88EP06NEjhg0blh0mJEmSGD9+fD5LXa5lMplo3rx59tasWbNqf0dEVFRURFlZWZSXl8f8+fNj/vz5MW/evCgpKckOE9uU2HfrR7KYYScW99jSqLw08r///e84/PDDo7S0NCIW7u9nnnlmdO/ePbt/L29++OGH7P3111+/Vsuut956EbHw38lQsdXJNT2yTZd860+bNm3ixBNPjBNPPDEmTpwY9913X/zrX/+K999/PzKZTPY98O23385zpfVv4MCBse+++8Y///nP2H777fNdTpPzww8/xOzZs6NVq1bRsmXLaNmyZRQVLXq4pepji5u+JMcdd1z07ds3IiIefPDB2GWXXZa+6EZCtunJZDJRVFRULdtWrVrVyffPL774IkpLS2OFFVaILl26LHaeJEliwYIFUV5eHvPmzYs5c+bEvHnzlvm5823WrFnRo0eP7HtN8v+Hc77lllviggsuWKZ177zzztWGg61c97hx42LHHXeMZ599NtZee+1leo6Gqm3btlFSUpLd5oiIFi1axOabbx5z585d7DJlZWU1ej34y1/+EiNGjMh+Vth9993jxRdfjEwmE19++WXsvPPO8eyzz8YvfvGLOt2mxm699daLefPmRYsWLWo0f0VFRcyaNSvatWu3yLQxY8bEFVdcEePGjYt+/frF4YcfXtflNjpHHHFE3HrrrfH+++/Hc889F0OGDIk33ngj+3l21KhRsdtuu8VJJ50U1113XaywwgqLrOOSSy6Jww8/PHv85v77748+ffpk/x+qXFfbtm3jgAMOiE6dOtXT1uWXbBsGx8vTJd/0yDZd8k2PbIG6pMmMvHj00Uez94877rhaLXvMMcfEJZdcEhERw4YNW66bzCqdccYZ0alTp+jdu3fMnz8/Zs6cGfvss0+cccYZ2XmmTJkS8+bNi5YtW1ZbtvKDwZ/+9KcaP991110Xbdq0yT73SiutVAdb0XSVl5fnu4QGy75b91q2bBldu3aNdu3aRatWraKwsDCKiopi1KhRkclkYu21147VV189O//IkSMjk8lEt27donPnzhERMX/+/BgzZkxkMpnYYIMNomPHjtn5X3nllYhYeED/ueeei169ekVZWVkkSRKdOnWKwYMHx5577lm/G93ALM2JzUoLFizI3i8oKKiLcpoMuaZHtumSb3507tw5Dj/88Jg/f368//77ERHVGs2WN2ussUb873//W+JBwVGjRlXLaNKkSTWatry7/vrra/W9NEmSKCwsXKrnqtyPH3300fjb3/7W5F8bZJuezp07x/z581NZ9/777x9PP/10rL/++vHaa6+l8hwNlWao9Bx33HFxwQUXxKqrrhpnnXVW9OnTJzp27BgPPfTQIvN+/PHHccghh8RDDz0Um222Wc51Pvvss3HZZZdl/x4wYEAMGDAgBg0aFKeffnqUlpbGpEmTYtddd43nnnsutthiizQ2rVEqKChYpMFs4sSJceihh0bEwh9X3HPPPdXmX1yzTkTE6quvHk8++WRELGzW0WS2UCaTic022yw222yz+P3vfx/77bdfPPPMM9nXgCRJ4q677ooRI0bEI488Etttt1215Vu2bBlbbrll9u/evXvHH//4x5gwYUJELGxcPf300+Oggw7KNkstL2Sbf46Xp0u+6ZFtuuSbHtkCdSr9i6XBotq1a5e9xObMmTNrtezMmTOzl+hs27ZtShU2TsOHD0+Ki4sXubx/5f333nsvO2/lkIM/nbe2tw8//DCPW5y+urgMLUtm301fZVY33XTTEh+fMGFC9vFHH3005/yzZ89OdtpppySTySTbb799MmnSpHrZloZugw02yOb01FNP1WrZJ554IrvsBhtskFKFjZNc0yPbdMm3fk2bNi25/fbbk5122mmx7/+VefJ/Ntxww6X+PLW4PJfH4TL79eu31MMD1vZWNfcRI0bke9NTJ9vGqfLfrVmzZsmMGTPyXU69u+aaa5JMJpN07tw5ufLKK5MffvghSZJkscM6fvTRR8mGG25Y7Tvv4owYMSI7FHRBQUFy6aWXJkmSJPfcc0/SsmXL7P7bsWPH5J133kl1+/Jl0qRJyd13353Mnz+/2uM/zbW8vDzZeuutk0wmk7Rs2TK57rrrkoqKikXW98UXXyQrrrhidtnevXtXmz569Ohk5ZVXrpbt8nYcobaqHq/Zdddda7Vs9+7ds/9ms2bNSqfARqAyv9NPP73a41dccUV2WrNmzZIddtih2ntXcXFxcscddyxx/WeddVZy4oknJu+//35am9BgybbuOF6eLvmmR7bpkm96ZAs0NK5kRl5U/QX9119/HZtuummNl606dJ7Lc1a3zz77xEMPPRSHHXZY9spCVTN6//33F/sLzqXJ8afrbup++OGHGDVqVEQszKvqraCgIDKZTBQWFmavGlVUVBTNmzePFi1aRNu2bRc7HAD/x77bsNQ0n9atW8dTTz0VF154Ydx4441+nfn/7brrrvHpp59GRMRVV10V+++/f42WS5Ikrr766uzfy8MwTbUh1/TINl3yTd/8+fPjqaeeivvuuy+eeeaZ7BXgkp9ctWy99daLY445Jnr37p2PMhuFn2YW8X+fC346zeep/Kj673D//ffH3nvvncdqmhbZ1p1NNtkkIhb+Wv65556LQw45JM8V1a9jjz02Vl555TjmmGOiWbNmOeerqKiIY489Nj755JPYYYcd4s9//nP8/ve/X+T19csvv4yjjjoqKioqIpPJxNFHHx0DBgyIiIjjjz8+1l9//TjwwANj6tSpMW3atNhzzz3j5Zdfjo033jjV7axvq666apxwwglLnO+OO+6It99+OzKZTJSUlMQf/vCHGDp0aAwaNCjWWWediIiYM2dOHHTQQTF9+vTIZDLRvXv3uOuuu6qt55e//GW88MIL0aNHj2y2v/rVr+LVV1/NXgWc6qoO51rb42AHHnhgvPrqq1FaWhr//ve/48gjj6zr8hqczz77LF5++eU4+eSTf3a+4cOHR//+/SNi4eevu+66K3r37h233357/P73v4/S0tIoLS2N0047LSZMmPCzV/y/+eab63QbGirZ1g/Hy9Ml3/TINl3yTY9sgYZCkxl5seaaa2aHrbnvvvuqnUBbkgcffDAiFr6Bdu3aNZX6GrMDDjggbrnlljjttNMWOTD55ptvxjHHHFPtscoD6ZWXuS8oKMh+GCkoKIjCwsLsZcLLy8ujvLw8FixYEPPnz1+uhhsaOXJk7Lbbbku9fLNmzWKllVaKlVdeOdZYY43YeOONs7dNNtlEc07Ydxur9u3bx9///vd8l9GgHHPMMTFw4MCIiHj11VfjvPPOi+uvv36Jy/Xt2zdeffXV7N+aIKqTa3pkmy75pmfkyJFx3333xaOPPhozZsyIiP9rJq98r1955ZXjiCOOiN69ey8yzA0LFRQURKtWraK4uDiaN28ezZo1yx6UrPxcVfmZKkmSKCsri/Ly8uxJtzlz5uRc9/LymatXr16x2WabRdu2baN58+ZRVFS0yJCNSZLEr3/965gzZ05kMpl44YUXluq5XnrppbjssssiSZIYOnRo/P3vf19kWPmmRLaNU9UfEg4fPny5azLTDJVf22+/fRx99NHx8MMPZxvPR48eHZtvvnlcc801ccYZZ8SXX34ZP/74Y0REdOvWLR5//PHFNgRusskm8eSTT8buu+8e8+fPjwkTJsSvf/3r+O9//+v1YTGqNpn9dCjNJTnwwAOjX79+ERHx6KOPLhdNZsOGDYvzzjsv7r///rj55psXO9TtpEmT4thjj81+xr3mmmuy3wtOO+202HrrrWPHHXeM8vLySJIkLr/88pg2bVr87W9/q+/NaVBkWz8cL0+XfNMj23TJNz2yBRqMlK+UBot1wQUXZIekaN68efL444/XaLkXXnghOwxAQUFB0rdv35QrbbxOP/30RYYS3GKLLarN8+OPPyZz585NysvLl+o5Zs+evdTLNhY/zbDyUunLMgTLT2/FxcVJjx49kssvvzx5/fXXFzuMw/LEvpuOykxrMlzmN998U6PhMsmtZ8+e1f6/33PPPZNnn302mTdvXrX55s2bl4wYMSLZY489qg3RtM8+++Sp8oZNrumRbbrkW3c++OCDpF+/fknXrl0XGbKxMuPWrVsnRx11VDJs2LCkrKws3yUvdxYsWJD9N+nUqVO+y2lQ2rdvv8xDtn7//ffVPicPHjy4DitsvGTbsJSWlibNmjVLCgoKks6dO+e7nAbjp8M6vv3228kxxxyTNG/evNp7WevWrZNbb701SZIk+d///pesscYaSSaTSdZee+3s0JuL8+qrrybFxcXZ9Wy11VbJ3Llz62vz8ub+++/P5jdx4sTs41999VVyxBFHLPJ5oWfPnsmkSZOSH3/8MTnhhBNqNATm3/72t2rHKZa3oYo+/fTT5NFHH01GjBiRvPzyy8no0aOT119/fbG3ypz22GOPnPPkunXq1CnJZDJJmzZtkpKSknxvdup23HHH7OfXoqKi5JRTTllkSMff/OY32ceOPfbYasuXl5cnRxxxRLV9s/L+eeedl49NajBkmy7Hy9Ml3/TINl3yTY9sgYYmkyTLyU+LaVAmTJgQG264YZSUlESSJFFQUBBHHHFE9OnTJ7p37x7NmzfPzltRURFvvfVW3HnnnXHXXXdlfz3UokWL+Oijj2KttdbK45Y0XHPnzo1NN900vvrqq4hYeJn6XXfdNR5++OFq+fLzCgoKqv2dyWSiRYsW0bx58+wVHqpe3WH+/PkxZ86cKC8vX+K6M1WuspGpcuWuLl26xMknnxwnnXRSrLHGGnW7QY2AfTcdlVd5u/HGG+Pss8/+2ce//fbbWGONNSKTycTDDz9c7coDudZDdVOmTImtt946Jk2aVO3xoqKi6NSpU7Rp0yZmz54dU6ZMibKysuz0JEmic+fO8eabb8aqq65a32U3eHJNj2zTJd+6seWWW8b//ve/iFj0ClkFBQXRo0eP6N27d/Tq1avalTSoXyUlJdGqVauIiOjQoUNMnTo1zxU1HG3bts1ebau0tDSKipbu4vLbb799jBkzJjKZTGy77bbx2muv1XGljY9s685tt90Wf//732PVVVeNFVZYIVq1arVUeQ4ZMiTmzp0bmUwmRo8eHdtvv30K1TYuDzzwQBxzzDGRyWTim2++idVWWy0iIr7++uvo169fPPzwwxHxf1fl3HvvvePuu++Oli1bxrnnnhvnn3/+EofAvPXWW+Oss87KHmPo1atXDBkyJN0Ny7PBgwfH8ccfH5lMJr7++utFjqO8/vrrccIJJ8Qnn3ySzWXFFVeMgQMHxkEHHVTj59ljjz3ixRdfjIiFx3Cuvvrq6Nu3b51tR0N266231vj7/+KOc9VG5f7/2GOPxYEHHrhU62gM3n///dh8882rDUteeZwwk8nE8ccfH3fddVeUlJTEWWedFaNGjYq33347+xkrSZI46qijYsiQIdnlWrduHXPnzs2u44orrogLLrig2vN+9tlnUVRU1KSPp8s2fY6Xp0u+6ZFtuuSbHtkCDU56/Wvw82655ZZqv9Ss7JZu1qxZsuaaayYbb7xxsvbaa2d/hfnT+a688sp8b0KDd9dddyW//OUvkyeffDKZP39+vstplL744otk0qRJyYwZM5IFCxbUeLl58+YlP/zwQ/L1118n7733XvLvf/87ue2225J+/folRx99dLL99tsnxcXFi/x6oOr9oqKipE+fPiluXcNl3617lfuVK5nVnw8//DBZe+21F/n/O9evhzKZTLLWWmslH3zwQb5Lb9Dkmh7Zpku+y25x2W255ZbJ9ddfn0yaNCnf5fH//fjjj9l/q7Zt2+a7nAalqKgom83s2bOXej0XXnhhtdeL0aNH12GVjZNs6851112X89fttb1Vruecc87J92Y1CPfee282k/Hjxy8y/bXXXks23HDDavmvtNJKydChQ2v1PD169Ki2H1977bV1tAUN08CBA7Pb+sUXXyx2nnnz5iW//e1vq+2fBx98cK2e56uvvkpat26dFBQUJKuuuupy9Rmt6pXcluWqGUu6VX3dOO644/K92akqLy9Pnn766eSQQw6p9h5WNYMTTjghmTp1apIkSfa/lc4///xqud18883JF198kayxxhrZdRQWFibDhg2rttxOO+2UtG3bNvnnP/9Zb9ta32SbPsfL0yXf9Mg2XfJNj2yBhkaTGXl12WWX1fjynlWn/+53v8t36Y1CWVmZS5o2YAsWLEjGjBmTXHLJJckmm2yyyL7evHnz5fKkRpLYd5dFrtxyNYct7vHaNJnNnj07Oe200+p4K5qOadOmJWeeeeYiX9Z+eisuLk7OPPPMRQ5usnhyTY9s0yXfZVOZz5prrplceOGFyUcffZTvkliMb7/9NvtvVVhYmO9yGozS0tJqn/enTJmy1Ot69NFHq50w7dWrVx1W2vjItm5VNpnVRbNI5XfbFVdcMZk1a1a+Ny3vNEOl44Ybbsjm+u677/7svHfffXdSVFSUtGnTJpkwYUKtn+vCCy9M2rRpk4wdO3Zpy22UKpvMiouLkw4dOiSrrbZa0q1bt8XeKv8tWrdunXOen7u1aNEiyWQySYcOHWp1ErUxGz9+fHLOOeckbdq0WaTZrlOnTsnjjz9ebf5//OMf1V5nb7nlluy0zz//PFl55ZWz6+jQoUMybty4JEmS5Oabb672Gv3rX/86mTx5cr1ua32TbePjeHm65Jse2aZLvumRLbA0DJdJ3j3//PNx8cUXxxtvvLHEeX/xi1/EZZddVm3oNmgqXnnllbjxxhtj6NChERHRr1+/uPzyy/NcFY3NoEGD4uSTT45WrVpFy5Yto0WLFlFUVBRff/11ZDKZaNu2bXYIgIiIyZMnL/J4RUVFfPfdd5HJZKJ9+/bRokWLReavHC7zggsuiOuuuy5OO+20uPXWW+t9exuLH374If7zn//EK6+8EpMnT46ZM2dGu3btYtVVV40dd9wx9tprr1hppZXyXWajI9f0yDZd8l06v/nNb6J3796xyy675LsUfsZ3330XV155Zfbva6+9dqmHLmxKZs2aFXvttVd2+InHHnssO1RebX3++eex/vrrR0TEZpttFkcffXT84Q9/qLNaGxvZ1q1nn302hg4dGi1btszemjVrVuPlkySJ7777Lp588sn48ssvIyJi3333jbvvvjtWXnnltMpuFG688cY477zzIpPJxNtvvx2bb755znnvueee6NOnTxQXF8fHH38cq6++eq2e66KLLopbbrkl3nzzzdhggw2WtfQG7cknn8weR+nfv3+ss846Pzv/0KFDY9y4cXHuuefW+rlmzJgRzz///HJ3XDL5/0ME1kRBQUFkMpmlHqr1+OOPj8GDB0cmk4knnngi9t9//1qvo7GaOnVqXHPNNXHbbbdlh4BOqgzxeMstt0Tr1q3j888/j8MOOyzee++9OOecc+LGG2+stp5Ro0bFnnvuGWVlZZEkSey5554xYsSIOOCAA2LYsGHV1tu+ffu44YYb4vjjj8/TVtcP2TZejpenS77pkW265Jse2QI1ocmMBuODDz6Il19+Od5999344YcfYtasWdG6detYccUVY5NNNomddtoptttuu3yXCakbM2ZMXHHFFTF48OBo06ZNvsuhkRk0aFCceOKJ1Q5sRSw8KFyppgeHF6dynTfeeGPss88+sdlmm0VZWVlERPzqV7+KwYMHR4cOHZZtIwAAyKmioiLOPffcOOWUU2KzzTbLdzlNimzrzvz58+Okk06KX/3qV3HMMcfku5wGQTMUTV1ZWVk0b948MplM/PrXv47HH3+81usYMmRIHHnkkZHJZOLQQw+Nhx56qO4LbeAmT54cF110Udx7772RLByJJjKZTKy77rrx0EMPxRZbbBGzZs2K/v37xw033BCFhYWLrOOKK66I/v37R8TCY0CjR4+O7bffPp566qno27dvfPbZZ9WOG+2xxx5xxx13RLdu3ep5a+uXbBsvx8vTJd/0yDZd8k2PbIGfo8kMAJqQyiazNGUymbj22mtjp512ihNPPDE+/vjjbONa165dY8iQIbHtttumWgMAAADQcMyaNStWWGGFyGQy2Ss81da0adNilVVWiYqKimjRokV888030bFjxxSqbfheffXVOPHEE+PTTz/NNi0VFxfHjTfeGKeeeurPLltRURE77LBDvPXWW3HJJZfEgAEDstPmz58fV155ZVx11VUxf/787I8SV1tttfjyyy+rXc2+qZItAAAsPU1mANCEfPnll/HWW29FmzZtonXr1tnhqXbaaafIZDJx7rnnxtFHH71U666oqIjtt98+MplMXHXVVXH++edHeXl53HjjjdG/f/9YsGBBJEkSzZs3jxtvvDFOP/30utw0AIgZM2bEbbfdFh988EFMnjw5lubrbCaTieeffz6F6gCA+lRSUhJvvPFGREQ0a9YsfvnLX+a5ouXblClTYrXVVotMJhPdu3ePUaNGLdV6ttlmm3j77bcjk8nEn/70p7j44ovruNLGo6SkJM4+++z45z//mW2G2n///ePJJ59c4rKjR4+O0047Ld57773FXtF+7NixccIJJ8Qbb7wRmUwm7rrrruVqaEfZAgDA0tFkBsupkpKSePvttyMioqioyFCkNBr23dqbPn16dOzYMTKZTFx55ZXxhz/8YanWU3Xoi8svvzz69euXnfb222/HkUceGZ9//nlELDyBf8YZZ8TNN9+8TMNzNiUlJSUxduzYmDZtWsyZMyfatWsXHTt2jA033DDbDEjtyTU9sk2XfGvvgw8+iB49esTUqVOXeh2Vw9aUl5fXYWVQf8rLy2PKlCnZvzt37pzHapoW2dKYzZs3L+bPnx8rrLBCvkupV1999VWss846kclkYtVVV41vv/023yUt177++utYe+21IyJiq622ijfffHOp1nPBBRfEtddeGwUFBXHaaafF3/72t7oss1G666674vTTT4/CwsL48ssvY9VVV63RchMmTIg11lgj5/SKior405/+FPfee2988cUXy+XxG9kCAEDtOHtBg+JkW/2ZMmVK9spGnTp1iokTJ+a7JKgR+27tzZw5c7H3a6u0tDR7f+7cudWmbbXVVvHGG2/EgQceGKNGjYokSeLOO++Mc889N9ZZZ52lfs7GrrS0NAYPHhz//Oc/45133omysrJF5mnRokXssMMOceqpp8ahhx4ahYWFeai0cZFremSbLvkum379+sUPP/wQEZG92gC1d++992YbxZs1axbjxo3Lc0XUxueffx4bb7xxRCz8/2D27NlRXFyc56qaBtnWnfHjx8duu+0WEREdO3aMMWPG/Oz8L7/8cuy0005RUFBQD9U1bKWlpfHee+9FxMIfVW211VY1Wu7vf/97nH/++dG1a9fYdddd46ijjop99tknzVIbhMqh55IkidatW+e5Glq1ahVnnnlmRCwcHnBp7b777vHxxx/H9ddfH+utt15dldeonXTSSdGlS5d45JFHatwEFRE/2wQVEVFQUBCXXnppnHPOOcttE5RsAQCgdlzJjLxzsi0/vvvuu+wX57XWWiu++OKLPFcENWPfrb2JEydmh5fYe++946ijjlqq9UyePDk6d+4cmUwmzjnnnLjhhhsWmWf+/Plx2GGHxVNPPRVXX311nH/++ctUe2P2/vvvx+GHHx6ffvppRMTPNkNUHnDccsst46GHHlquG/OWRK7pkW265Lvs2rdvH7NmzYqIhU0LBx98cHZIptoaMGBAXZfXaNx9991x8sknR0RE27ZtY8aMGXmuiNr45ptvomvXrhGx8OTl4r4/s3RkGzFkyJB47733onXr1tGmTZvIZDIxf/78mDlzZmy77bax//7712g9kyZNii5dukTEwpPwP9fMOnny5Fh//fVj1113jSFDhkTLli3rZFsaq/Hjx0e3bt0ik8nEaqutFt98802Nlttxxx3j1VdfjYj/+xzRvXv3eOSRR6JTp06p1ZtvU6dOjZVXXjkymUxsvvnm2aueAwAAAOlwaSjyqqYn20pKSmLkyJExcuTIuPbaa51sqwOVB24zmYxfe/5E7969Y9KkSdG8efNo3rx5tGjRIns/LYWFhdG+ffvo1q1b7LvvvrHWWmul9lyNnX239jp37hx33333Mq+nWbNm2V8l77DDDoudp3nz5jFkyJDo27dvnHfeecv8nI3Vxx9/HLvsskvMnDkzOzTbkiRJEm+//XbstNNOMXr0aK8DiyHX9Mg2XfKtG0mSZPMbPnx4ja/uQnVVP9O2atWqTtY5duzYGDlyZJx66ql1sj5ya9OmTUQs/Cy8vDfj1DXZRvznP/+Ju+66a7HTzjvvvBo3mVX9zrak15mLLrooZs+eHU8//XTsvvvu8fTTT8eKK65Yu8KbkMr9MEmS7P0leeONNxZpMEuSJEaPHh3HH398DB8+PJ1iG4DKK5lFLPy+WtWdd94Zo0ePjuLi4mjRokW0aNEiCgsLs7el0axZs+jcuXPsvffey3SlLoDGxvHydMk3PbJNl3zTI1ugIdNkRt442bZ0fvzxx7jtttsiYuGB29/97nfZaWVlZTUeVrTqB5GqB+WIeOutt7KNj/lw7rnnxhVXXNHkrgBl3238OnbsGLfccssS52vRokWN5muqysvLo1evXjFjxozse1urVq3iwAMPjO7du0fXrl2jVatWMXv27Pjiiy9i1KhR8cwzz0RpaWlkMpmYMmVK9OrVK9566y1DKlQh1/TINl3yrTtbb711vPTSSxER2SvkUHuVn6Vq0vxREx988EHsscceMW3atFhnnXVizz33XOZ1kltlE0WSJIs0VLBsZLtQ5Y//qjYr1fb9p+owoz/3OvPee+/FoEGDskMg//DDD8v9EKWVedXmR1UVFRVx1VVXxZdffhn//e9/46OPPspm+uKLL6ZZbt79XJPZa6+9FnfffXcqn5+aN28eN998c/Tp06fO1w3QEDleni75pke26ZJvemQLNGSGyyQvysvLY9NNN42xY8dmD3y1bt26xifbkiSJLbbYYrk82VY5hMdPh04oKyuLLbfcMo477rjo27fvEnMpKyuL5s2bRyaTiW233TZee+21+ii/Udhoo43ik08+qffnrdy3Ixb+YuCTTz6Jtddeu97rSIt9l+VF5TBklfvyAQccEHfccUesvPLKOZeZMGFCnHLKKfGf//wnIha+HgwaNCh69+5dLzU3BnJNj2zTJd+68/zzz8fee+8dEQsPdl1//fV5rqhxeuKJJ+Lggw+OTCYT66yzzjIdtHz77bdjn332ialTp0bEwivwDBs2LHbeeee6KrfRe+KJJ5Z5SNLjjjsue7+0tDRatmwZmUwmVlxxxfj++++XtcRGS7Z1r0+fPnHnnXdW+25aqW/fvnHNNdfUaD1Vv7Nts8028frrry92vp49e8azzz4bEQuHKH3hhRdil112WbaNaEDmzZuX/fFNQUFB9O3bd4nL1DS7nzN48OA4/vjjI2LhZ4jy8vJar6MxKSgoiEwmEzvuuGO8/PLL2ccr9+e6VPX/jWbNmsUHH3wQ6623Xp0+B0BD5Hh5uuSbHtmmS77pkS3QkLmSGXlx7733ZhvMIiIOPPDAnz3Z9rvf/W6Rk23vvfde/Otf/1ruTrZV/qo1SZJqvwi+7bbb4sMPP4x+/frFo48+GnfffXdstNFGOddTdWiApR0moKnLZDL1NgzTzJkz47PPPst+gKuoqIjhw4fHGWecUS/PXx/suywvhgwZkr2/4447xmOPPbbE5sk11lgjnn766dhxxx3jjTfeiIiIBx54YLl7j/s5ck2PbNMl37qzxx57xF//+tf43e9+F3/961/j+++/jz/96U/RrVu3fJfWqFS96ktNryS7OG+99Vbstdde8eOPP2Y/w5aUlMSnn36qyayKfv36LfOvj6s2Qvks/H9km66PP/642t8dO3as8bI1yfKFF16IZ599NvueeNZZZzWpBrOIhT+w7NevX2QymWjbtm2Nmsyq5rW0V9Q79thj47e//W3MmjVrqZZvajKZTHTv3n2Rx1955ZXIZDLRqVOnWGeddbKPf/HFFzF58uRFlisrK4uxY8dmm1vLyspi0KBB8Ze//CX9jQBoIBwvT5d80yPbdMk3PbIFGiJNZuSFk21Lr/KkUNWhEyZMmBD9+/fPvvG/8cYbsfXWW8ef//znOO+88xa7nqp5O4Ce25gxY+rtuUaNGhW777579u+RI0c2qQ9v9l2WF++99172/oUXXljjK24WFhbGRRddFAcddFAkSRLvvPNOWiU2SnJNj2zTJd+6deihh8aTTz4Zzz//fPzrX/+K+++/Pzp37hxrrrlmjU/GZzKZeP7551OutOGqmtPSNpm9++67sc8++1RrMGvXrl088sgjhstcjGW5gPxPXzOq/l1QULDU620qZJueDTbYYKmXrZplrteZfv36RcTCf8MuXbrE5ZdfvtTP11BV/aFVTYe+rKv90D5c3ahRoxZ5rDKjgw46KG677bbs46effnr84x//WOxyM2fOjE033TR7ZfaRI0emVTJAg+V4ebrkmx7Zpku+6ZEt0NBoMiMvnGxbelWvPFB5gqh58+Zx5JFHxj333BNlZWWRyWSipKQk/vCHP8STTz4Z9957b6y55pr5Kpka2nnnnWOLLbaIt99+OyKq/3/SFNh3WV5MmzYte3/rrbeu1bI77LBD9v706dPrrKamQK7pkW265Ft3Pvroo+jRo0d8//332e8PFRUV8c0338S3335bo3UkSVLj7x4s3v/+97/Ya6+9Ytq0adkGs1VWWSWeeeaZ2HLLLfNdXoNUuc917dq12uNTp06N2bNnRyaTyTmNnyfbxumRRx6JN998MyIW/hteffXV1a523VQUFBREs2bNoqysLFq2bJnvcqgD7dq1iy222CImTJgQERHvv/9+nivKn3HjxkVBQUG0bNkyWrZsGc2aNYvCwsI6/zFgkiRRWloaJSUlUVpamr2//vrr1+nzNBRyTY9sG6emfrw83+SbHtmmS77pkS1QE37WRl442bb0qv4KuPJLcKdOneKOO+6IDz/8MA444IDsybMkSWLUqFGx+eabxwMPPJCvkqmFqmObf/XVV1FeXp7HauqWfZflRdWhhGo7xE3l/JlMJlZZZZU6rauxk2t6ZJsu+dad8847L7777rvslYuqXsEoSZIa3Vg2n3/+eey9994xderU7Ge2Ll26xMiRI5f7BrPvv/8+57TKfe+rr76qdjviiCOy8/zctOWdbJuW8vLy6N+/f0T83zCGRx99dJ6rSk/l9+ClHfqShqfyB3IREbNmzYqZM2fmuaL86NmzZ3Tr1i06deoU7dq1i5YtW0bz5s2zTTt1dSsqKorWrVtHx44do3PnzrHWWmvFxhtvnO/NT41c0yPbxqspHy9vCOSbHtmmS77pkS2wJK5kRl507NgxJk2aFBFOti2Ln2a33nrrxeOPPx7Dhg2Ls88+O7766qvIZDIxc+bM6N27dzz77LNx2223+QVtA9a+ffuIWHjVr1133TXmzJkT7dq1y29RKbDv0pRtueWW2fe4MWPGxN57713jZV999dXs/e22267Oa2vM5Joe2aZLvnVn9OjR2ZO6HTt2jIMPPjhWW201VyarJxMnToy99torvvvuu2yD2eqrrx4vvPBCrLvuuvkuL6++/fbb2HjjjeOCCy6I888/XzNJHZJt03PXXXfFp59+mv37xhtvzGM16av8gVVdXymH/Jk6dWq0adMm9t5779hiiy2W639bDfzpkGt6ZNs4LS/Hy/NFvumRbbrkmx7ZAkuiyYy8cLItXfvtt1/06NEjzjvvvLj99tuzJ4HuvffeGDNmTLz22mvRpk2bfJfJYnTu3DmuvPLKOPPMM5fLfyP7bt1YeeWVY86cOdGsWbMoKiqqNgRAYWFhFBQULPYWETlP1FceiKuoqIgkSaKioiJ7Ky8vr3YrKyuLsrKyWLBgQZSVlcXYsWNjrbXWqrftz7cTTjghnn766YiIGDBgQOyxxx41OvEwf/787FUdIiLOPPPM1GpsjOSaHtmmS751p3Xr1jFr1qzIZDIxYsSI5f7KWfVpxowZsffee8e4ceOyn886d+6swez/u+6662LWrFnxxz/+Me69997461//Gj179sx3WU2CbJuWefPmxaWXXpr9znHggQfGNttsk+eq0lX5nl/5fYvG79JLL43ddtstiouL811K3lX+v5yrcSft6U2VXNMj28ZpeT9enjb5pke26ZJvemQLLIkmM/LCybb0tWzZMm677bY44IAD4sQTT4wpU6ZExMLxtH0oaLguvfTSfJeQd/bdZVdWVhYlJSVRUlKS71KyJ6KXJ4ceemgceuih8cgjj8Qbb7wRBx98cAwaNCg6dOiQc5nJkydH79694913342IiL59+8Zuu+1WPwU3EnJNj2zTJd+6s9dee8XgwYMjImK11VbLczXLj7KysujVq1d89NFH2ff1VVZZJZ577jkNZhHx3XffxR133JE9qfjpp5/GfvvtF/vuu2/ccMMNea6ucZNt03PjjTdmf3BYWFgYf/nLX/JcUdNUVlYWs2bNyncZTZZG1/+TJElkMpns/9dVnXfeeXH//fcv9fTKhvZMJhPHHHNMXHfddalsQ0Mk1/TItnFyvDxd8k2PbNMl3/TIFlgSTWbkhZNt9adnz57x5ptvxmGHHRY//PBD3HTTTfkuCWrEvrts6vvXk1WvgLa8NZX91Pjx4+OKK66IuXPnxtNPPx3Dhg2L9dZbL4477rjYfffdY+21145WrVrFrFmz4tNPP43//Oc/8eCDD2avznPmmWfGmWeeGePHj8/5HF27dq3HLWoY5Joe2aZLvnXnj3/8Yzz++OMxe/bsuPrqq5v8EGsNxXnnnRcvvPBCtsGsffv2MWLEiNhwww3zXVqDMH78+Nh8883jtddei4j/a7B/+umn4z//+c9yPYzaspJtw1BeXh777rtvbLHFFrHxxhvHuuuuG127do3VVlstiopqflhx6tSpcc0112S/Nxx22GGx8cYbp1X2cu2+++6LioqKiAhDzFIvOnXqtMhjLVu2XKbpP513SfM0RXJNj2wBAGDpaTIjL5xsq19dunSJkSNHxpdffhnNmzfPdzlQY/bdZbfrrrvWav6RI0dGJpOJli1bxrbbblsny1U9ELc86NatW/bkWeXJ0GnTpsVNN92Us1myamPerbfeGrfeemvO9WcymSgrK6vbohsBuaZHtumSb91Zd911Y+jQoXHooYfGzTffHJMnT47LLrss1l9//XyX1qT17t077r333pg5c2a0bt06nn766dh8883zXVaDsc0228To0aPjiy++iEGDBsXgwYNj3LhxkSRJzJ8/P+dQ5CyZbBuGjz/+OP7zn//Ec889V+3xTCYTq6yySqy++uqx+uqrR7du3WL99dfP3n5qhRVWiJNPPjluvPHGyGQy0bdv3/rahEbr448/jkMOOaRWy/zwww8xevTo7P8fv/jFL9IoDQAAAFhOaTIjL5xsq3/NmjWLDTbYIN9lQK3Zd5dO5RAAL774Yq2WKygoiIiFjbq1WXZpl1se/PQEaNX3s6rvhbnmYfHkmh7Zpku+S6979+4REdGuXbv48ccfY8iQITFkyJDo2LFjrLnmmjW+Wksmk4lXXnklzVKblG233TZGjBgR+++/f9x3332xww475LukBmmdddaJP/3pT3HZZZfF0KFD469//Wv897//zXdZTYJs86vySnKVKt+TkiSJyZMnx5QpU+Ktt95a7LJJksTcuXMjSZIoKiqK66+/Pnbccce45557Yquttkq99sZu2rRp8cQTTyzTOk488cQ6qgYAAABAkxkNhJNtADQlNX2P8l5WO3JNj2zTJd+68dprry3y3SBJkvjhhx9i6tSpNVpHZRM2tbPddtvFl19+GW3atMl3KQ1eJpOJQw45JA455JB4++2341e/+lV8//33+S6rSZBtuiZOnBhffPHFIo8PHz48InK/R+V6vPIHhe+8805sttlmce2110bPnj2z/4Ys2bJ8LiguLo7f//738dvf/rYOKwIAAACWd5rMyBsn25bdZ599FieddFK9rKe8vDx7Ky0tjXnz5sW8efPipZdeWubnb2gqKiqy9+fNm7fcDfVXH+y7NGVfffVVvktokuSaHtmmS751q7ZNDtQdDWa1t9VWW8WKK66YbYQaM2ZMtX21aoNUTaeVl5dnH1+wYEF2Wnl5eZSVlcWCBQuipKQkZs+eHYcffnhq25Zvsq0b8+fPjwceeCAGDx4cI0eOrPZduFL//v3joosuiubNm2ebdOfPnx8lJSUxY8aM+P7772PSpEkxadKkGD9+fHz66afxxRdfRElJSXb+Dz/8MPbbb784+eST429/+1s0b968Xrezsdp0003j5ptvrtUymUwmVlpppVh77bWjuLg4pcry5+ijj4499tgjDj744FhxxRXzXQ7AcsPx8nTJNz2yTZd80yNboCHTZEZeONlWN7777rsYNGjQMq0jSZKlWk9TvgrEggULsvd9eEuHfZembM0118x3CU2SXNMj23TJt+4MGDAg3yU0OTNnzozHHnusXp6rrKwsSkpKYt68eTF79uw45JBDYq211qqX5863ys+euYYaTZKk1tOSJIlp06b97PClTaUR6ufIdunMnDkz/vrXv8Ztt92WbbrL9T1piy22qPX6kySJwsLC7P3K/955553x8ccfx5NPPhkdOnRY+g1YTqywwgqx66675ruMBmPatGnx0EMPxUMPPRSnn356dO/ePfbZZ598lwWwXHC8PF3yTY9s0yXf9MgWaMg0mZEXTrbVjbq6YkNt19PUG3Tmz5+fvT9v3rw8VtJ02XcBgNqq2pC0xx57RJcuXfJYTdMwYcKEOOyww/Ly3Jtuuuly02RW6ec+uy7NtMU9XjlE4fL2uVe2tTNjxoy49NJLq21Tbbbr7bffjq222irn9Krr2mSTTWLNNdeMYcOGRUTE6NGj41e/+lU8//zz0bp166XfiEZmwoQJceSRR0ZBQUEUFhZGs2bNonnz5lFcXBytWrWK1q1bxworrBArrLBCvkttsF5++eXs/lpWVhajRo2KUaNGRcTC/2enT58e8+fPd6U8gBQ4Xp4u+aZHtumSb3pkCzRkmsygEWvTpk1ssMEGS738W2+9FZlMJlq3bv2z66kcImRxQw42RVU/vE2bNs0JzBTYd1keLViwIJo1a1btsbvuuiumTp0a2267bey8887ZKz5Qc3JNj2zTJd/aO+GEE7KNC+++++5SfUb79ttv49Zbb43//e9/scIKK0TPnj3j6KOPlnU9aipNOrVRuc0//bHV1KlTY/bs2ZHJZKJr1641njZu3LjIZDJRUFAQnTt3joqKiuyV4ubOnVvtF89NnWyXzhprrBGbbbZZvP/++xGxMMcVV1wxWrZsGd9+++3PLvvdd99Fjx49Yscdd4x77703Onbs+LPzt2/fPp566qm4/vrr4/zzz49MJhNjxoyJo446Kp588sk626aGbubMmfHwww/XaN7K5r9XXnklNtlkk9hll11it912i3322We5bkJ7+eWXI2LRJtDKvD766KPYaqut4p577oltttkmHyUCNFmOl6dLvumRbbrkmx7ZAg2ZJjPyovLAUF3YZZdd6mxdjc0WW2yxTFkWFBTUyXqamtLS0uyJr6+++io23XTTPFfU9Nh3WV688MILcdVVV8XIkSPj2muvjbPPPrva9IcffjieffbZiIjo0qVLXH311XHUUUflo9RGRa7pkW265LtsOnXqFFOmTInmzZvHxhtvXOvlR48eHfvtt1/MnDkz+9iDDz4Y9957b/z73/+OFi1a1GW5jUJdXV22sTxvvn311VfV/u7Tp0/ceeedtZpWVlaWvUrPyiuvHOPGjVvkeebOnRsTJ06s09obOtnWXq9eveKDDz6IX//613HmmWdGjx494rTTTstmk8sFF1wQM2fOjOHDh8dWW20Vn376aY1eP88777xIkiT+8Ic/RETEsGHD4tprr43zzz+/TranoVua170kSeLjjz+Ojz/+OP7xj39EUVFR7LzzznHUUUfFkUceuVxdCS4i4oYbboizzz47Ro8eHc8++2yMGDEipkyZUu1KfB999FF07949Lrjggmon5gBYNo6Xp0u+6ZFtuuSbHtkCDZkmM/Jit912q5Nfr1deIh/qUmlpafYA8Ndff53fYoBG649//GNcccUVS5yv8goc33zzTfTu3TveeeeduOaaa+qhwsZJrumRbbrku+x69OgRDzzwQBQXF2evPDZv3ryYMWNGrLDCCtGyZcucy86dOzcOP/zwmDFjRvaKJ5VeeOGFGDBgQFx11VWpb0NDs9FGG9VLw355eXmUlZXFggULYs6cOTF79uxYf/31U3/efJkxY0Z8/fXXsfnmm9f5umvyPbpVq1ax7rrr1vlzNwSyrTt9+vSJo446qlbb89prr8W9996bzeqss86qVYNu3759Y+zYsXHXXXdFkiQxYMCAOOigg2K99dardf2NTceOHeOwww6LBQsWRFlZWfY1cXH3X3zxxex7VdX3qwULFsSLL74YL774Yvz+97+PU045Jfr16xcrr7xyHresfnXr1i26desWRx99dPZqb7vssku19/aysrK44oorlrurZgKkyfHydMk3PbJNl3zTI1ugIdNkRoP1c7/y/OmJIahLN998c3b/2mqrrfJcDdAY3XLLLXH55Zdn/851gqPytaayqSRJkrj++utjvfXWiz59+tRLrY2JXNMj23TJt2787ne/iwcffDBmzZoVQ4cOjauvvjrefPPNbG4bbLBBnHzyyXHWWWdlr0ZUaciQITFx4sRs9n369IkNN9wwbrrpphg/fnz87W9/i379+kX79u3re7PyqrCwcIlD3VE7t912WwwYMCBWX331eOedd/JdTpMi27q16qqr1mr+JEnit7/9bfY9avfdd4++ffvW+nlvvPHG+M9//hPffPNNlJaWxrnnnhvDhg2r9Xoam9VWWy1uu+22Gs1beeXu7bbbLv785z/Hf/7znxgxYkS8//772fe8WbNmxV//+tcYOHBgXHfddfGb3/wmtdobqkwmEzvttFP277XXXjs6dOgQb731VkRUP674zDPP5DyOOH78+Hj66aer/V2T5Srtu+++S1V/Y/HQQw/F7Nmzo3fv3svlVV/TItf0yDYdjpenS77pkW265Jse2QINWgJ5kMlkanUrKCjI3n76+PKoctt33nnnGs3/0ksvJb/+9a+TkpKSZVoPLCv7bv1o3779Ur9GVi630UYb1ctyTdHkyZOTli1bZt+3iouLk169eiWvvvrqIvMuWLAgGT9+fHL77bcnnTt3zr7PtWvXLpk+fXr9F9+AyTU9sk2XfOvW7373u2rfDxb3vWHbbbdNvvvuu2rLHXXUUdnp/fr1yz4+bty4ZIUVVkgKCgqSgQMH1vfm5MVzzz2XzWLTTTfNdzlNxocffphst9122f2yoKAgGTp0aLLhhhvm/Fx2yimn1HpaWVlZ9vHVVlstte1pSGRbf34ut3/84x/Z19q2bdsm48aNqzZ96tSp1f7+ue9sDz/8cLXX7cW9JzYV7du3r/Xrba7sPvzww+QPf/hD0qFDh+w8lf898MADk++//76uy28UquZVUVGR3H777clKK620yPHEn94Wd8yxJtOq3goLC/O9+ak78cQTk4KCgqRDhw7JcccdlzzyyCPJ1KlTf/Y1OEl+/vWkJtOT5P/+bfv06VMn29KQyDU9sgUAgHQV5LvJjeVTRUXFz97Ky8vj+++/j9GjR8ef/vSnWH311bMd2wceeGDMnj07Ox+5lZeXxx/+8IfYY489YtiwYXHWWWfluySoEfsujdkdd9wRJSUlkSRJtG/fPsaMGROPPPJI7LDDDovMW1RUFGussUaceuqp8eqrr8aKK64YERGzZ8+OO++8s75Lb9Dkmh7Zpku+devbb7+NiFhkCLFKSZLEW2+9FQcffHBUVFRkHx87dmz2fq9evbL3u3btGieeeGIkSRLPP/98ipXTlP3jH/+IbbfdNt58883sY0VFRfHBBx/ksaqmQbYNw/Tp0+Piiy+OiIVXj7riiiuia9eu2ekLFiyIHj16xCGHHBIzZsxY4vp69eoVG220Ufbvq6++uu6LboI23njjuPrqq2PcuHExYMCAaN68efbKp0899VRsueWW8fHHH+e7zLzKZDJx6qmnxocffhgHHnhgtavE/vSWyWSyVzit+njleqoOWfrTW9VlmroxY8ZEkiTx448/xn333ReHH354rLLKKvH555/nu7RGTa7pkS0AAKRLkxkNUiaTiY4dO8YOO+wQ/fv3jy+//DIuueSSKCgoiCeffDJ22WWXmDt3br7LbNDGjRsXO+64Y1x//fVRUVERSZLEnXfeGXfccUe+S4OfZd+lsatsUshkMnH22WfHJptsUqPlunbtGv369cv+PXz48FTqa6zkmh7Zpku+deehhx6Khx9+OHtC+Mgjj4xnn302Pvroo3j22WfjqKOOioiFJ31fffXV+Ne//pVd9ptvvsne79atW7X17rrrrhER8f7776e8BTRFEyZMiHPOOSfbTJrJZOL444+Pzz77LPr375/v8ho12TYc/fv3j6lTp0Ymk4nNNtssfvvb31ab/uc//zn+97//xRNPPBFbbrllTJw48WfXl8lk4oILLoiIha/Zw4YNW+Iy/J+2bdvGgAED4s0334wNNtgg+/i3334bu+66a7z33nt5rK5hWGWVVWLo0KFx9913R8uWLbNNYz/XWFYp1+M/nWd5MGnSpPjwww+zf1fmUvkjYZaOXNMjWwAASJ8mMxqFwsLCuPTSS+OBBx6IwsLCeOedd+Loo4/Od1kN1ogRI2LrrbfO/nKr8gBaly5dom3btnmurnEoLS2Nvn37xoUXXpjvUpYr9l2agqpXyznkkENqtez++++fvf/RRx/VWU1NgVzTI9t0ybfuVL2a2xlnnBH3339/7LnnnrHhhhvGnnvuGf/617/ijDPOyM5z7733Zu/PmTMne79169bV1lt5NZ7Kq6RBbayxxhpx6aWXRpIkscUWW8Trr78ed999d7WrPLF0ZNtwjB8/Pnv/2muvrTbtgw8+iKuuuir73W2jjTaKzp07L3GdRxxxRKywwgqRyWSivLw87r///rotuoGobEZKo7nhF7/4Rbzyyiux/fbbZ78///DDD9GjRw+N0//f8ccfH6+++mqsvfba1RrDdt999/j6669jwoQJNbqNGzcuvv766/jss8/i448/jnfffTdee+21eOGFF/K4dekrLy+Pa6+9Ns4555w4+OCDY/PNN88em1leGu3SINf0yDZdjpenS77pkW265Jse2QINVVG+C4DaOPTQQ2Ps2LFxySWXxFNPPRXPP/987LHHHvkuq0G54oorYsCAAVFeXp49yNuiRYu4+OKL47zzzovi4uI8V9jwvfrqq3HiiSfGZ599FplMJvbbb7/Yaaed8l1Wk2ffpan48ccfs/drexK0S5cuEbHw4OfUqVPrsqxGT67pkW265Ft33nnnnez90047bbHznH766XHbbbdFkiTx7rvvZh8vKSnJ3v/pZ4pWrVpFRPVGNKiN888/PwoLC+Pcc8+NZs2a5bucJkW2DcNTTz0Vd911VwwaNCj23HPP7ONJkkSfPn2irKwsMplMrLbaatUafH9OixYt4vDDD4+BAwdGJpOJIUOGRN++fdPahLwpLy+PiIiysrJU1t+hQ4d44YUX4pBDDokRI0ZEJpOJ6dOnx0EHHRRvvvlmdOjQIZXnbUw23XTTGDNmTOy///4xevToyGQy8dJLL8V5550XDz74YBQWFua7xAZr9dVXj/POO2+RxydPnhzdu3ePr7/+uv6LagLkmh7Zpsfx8nTJNz2yTZd80yNboCHTZEaj07dv37jhhhtixowZ8Y9//GO5bjJbsGBB9n5paWmccMIJMWTIkOwvWJMkid133z3+8Y9/xLrrrpvHShuH0tLSuOiii+Lmm2/ODtOYJEmccsop8d5770WLFi3yXWKTYd+lKWvTpk1MmzYtIiJmzpwZK6ywQo2XnT59erX18H/kmh7Zpku+dWfWrFnZ+5UNeD9V9eo5lfOXl5dnr1zQunXrbDN7pcrPJU4ys7QKCwvj/PPPX+J8J510UrW/R48eXaNpyzPZNhwnnXRSnHjiidUeGzhwYLz++uvV/u7YsWON13nsscfGwIEDI0mSeOutt+Lrr79eZEjjxq6yyazyv2lo2bJlDB06NHbdddcYM2ZMZDKZ+Prrr+OUU06JRx99NLXnbUzat28fzz33XBx22GExbNiwiIh47LHHolevXvHwww9rYq2lVVdd1TGyFMg1PbJdeo6Xp0u+6ZFtuuSbHtkCjYEmMxqd4uLi2GqrreKFF15YLi//X7U5p+ovYQ8++OAYMWJE9u+ioqL4y1/+UqMD8kS88sorcfLJJ8dnn32WbXSqbHZq27ZtfP/997H66qvnu8xGzb7L8qJbt27ZhpLhw4dHnz59arzsM888ExERmUwm1lxzzVTqa6zkmh7Zpku+dWellVaKiRMnRkTEJ598EjvssMMi81QOT1o1s8pms0wmEyuvvPIiy8yYMSMiFp6khzRUNjYOGjSoVtNYMtnWr6pNujNmzIj+/ftnHz/hhBPiV7/6Va3W17179+jYsWP2ap2PPPJIk7ua2fz586v9Ny3FxcXx5JNPxvbbbx8TJkyIJEni8ccfj3vvvTeOO+64VJ87n6oeW1hSI19xcXEMHTo0DjzwwHjmmWciSZJ46qmn4qCDDoonn3xSsznATzheni75pke26ZJvemQLNBYF+S4AlkblgaNvvvkmz5XUv6oHJqvev+CCC7IHxLp06RKjRo3SpFMLt956a3z66afVrqTVsmXLuO666+L111/3wa0O2HdZXuy9994RsXD4oMsvvzxmzpxZo+VmzJgRV1xxxSLrYSG5pke26ZJv3ak6LMBFF11UrYE9YuGJ5sqGh4iIXXfdNSIivv322+xjq6666iLrHTduXM5pTVFFRUX2fppX1uH/VP7yuLY3lky2+XPttdfGDz/8EJlMJjp06BDXXnttdlrVjH/udaagoCD23Xff7N9PPfVUOsXmSWlpafY1d/bs2bVevurrdU106tQphg4dGkVFRdnjGuedd16THnI713GGXIqKiuKxxx6LXXbZJSIW7qvDhw/POQw3wPLM8fJ0yTc9sk2XfNMjW6CxcCWzOjJ9+vTYYostYvz48XH33XfHCSeckO+SmqyJEyfGa6+9FhHVf0W7vCgpKcnenzNnTvb+rrvuGjfeeGMMGjQonnjiiVhttdXyUV6jdeONN8bw4cNjxowZkSRJ7L333nH77bc3uaE68sm+y/Li5JNPjuuuuy7Ky8tjwoQJcdBBB8Wjjz4aHTp0yLnM9OnT45BDDonx48dHxMKTH6ecckp9ldwoyDU9sk2XfOvO6aefHkOGDImIiJEjR8aGG24YxxxzTHTp0iW+/fbbuP/+++Orr77Kzn/kkUdGxMJfglb64YcfsgfrKo0aNSoiYrkZoru0tHSx90nHoYceGj/++GMUFxdH8+bNo1mzZlFYWBiFhYWRyWSioKCgWvNTWVlZlJeXR2lpaZSWllb73PxTtW1AaWpkm6527dpV+7tbt27xv//9L/t3aWlpNG/ePBYsWBCXXnpprLjiitlpVRvLql5panF23333GDx4cCRJEq+++mrMnDlzkedurObOnRsRCxuZfm5/q2pZG4G33HLL+OMf/xiXXHJJZDKZmDZtWvTt2zfuvvvuWq+rMaj6PjZv3rwaLdOiRYt4/PHHY4cddsheJeKuu+6K9ddf3w/eAKpwvDxd8k2PbNMl3/TIFmgsNJnVkRNPPDF7Eoj0fPbZZ3HsscdGaWlpZDKZWGuttfJdUr2repCy8n6lM888M37zm99Es2bNlrieqgfilnTQd3nQqVOn6N+/f1x55ZVx4403Ru/evReZ55tvvon+/ftHu3btonXr1tG8efPUh1O45JJLUl1/fbLvsrxYZ5114swzz4ybbropMplMjBw5MjbYYIM45ZRTYo899oi11lor2rRpE7Nnz46vvvoqnn/++fjnP/+ZvcJAJpOJ008/PdZZZ508b0nDItf0yDZd8q07u+66a/Tp0ycGDhwYmUwmvvrqq7j88suz03/aPHbFFVfERx99FFdeeWX2F6Cff/55XHfdddmTyF9//XXcf//9kclk4pe//GW9b1M+VF7pJUkSTWb14M9//nOdrq9qA8ry3ggl23T99MpbP/372muvjVNPPTXOPvvs+M1vflNtWm2GMOzevXtELHy/Ky8vjxEjRsRhhx22LKU3GB06dKj1vlT1alw/vWJnTV1wwQUxePDg+PzzzyNJkhg8eHCceeaZsc022yzV+hqyqj9mq2mTWURE+/bt49///ndst9122ZN4F154Yay//vpx4IEHplFqk1Y5RGtVVV8zlmb6T+f96XH3rl27LkvJjYJc0yPbmnG8PF3yTY9s0yXf9MgWaCwyiXECllm/fv3i6quvzv7tSmZL9qc//alW80+fPj0++eSTeO6556K8vDx7AumCCy6oNozQ8mDu3Lnx4osvRkRE8+bNY6+99lqq9cyYMSM6dOgQmUwmttpqqxgzZkxdltkolZWVxYwZM6Jjx46Lnf7hhx/GpptuWq9X0GtKQxjZd+tPhw4dssOx7bfffrVa9t///ndkMplo3bp17LbbbnWyXCaTiSeeeKJWdTR2ZWVl0aNHj/jvf/+bbWz4udeOqpfA3nHHHePFF1+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      "text/plain": [
       "<Figure size 3000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用missingno库进行可视化展示\n",
    "import missingno\n",
    "# 使用missingno库进行可视化展示\n",
    "missingno.matrix(data1,figsize=(30,10)) #以矩阵的形式\n",
    "plt.xticks(fontsize=30,rotation=90)\n",
    "plt.yticks(fontsize=30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "67d5080c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>updateTime</th>\n",
       "      <th>平台i</th>\n",
       "      <th>门店ID</th>\n",
       "      <th>平台门店名称</th>\n",
       "      <th>日期</th>\n",
       "      <th>cpc单次点击费用</th>\n",
       "      <th>cpc总费用</th>\n",
       "      <th>cpc曝光量</th>\n",
       "      <th>cpc访问量</th>\n",
       "      <th>gmvroi</th>\n",
       "      <th>...</th>\n",
       "      <th>无效订单</th>\n",
       "      <th>有效订单</th>\n",
       "      <th>自增主键</th>\n",
       "      <th>自然曝光量</th>\n",
       "      <th>自然访问量</th>\n",
       "      <th>门店下单量</th>\n",
       "      <th>门店实收</th>\n",
       "      <th>门店曝光量</th>\n",
       "      <th>门店营业额</th>\n",
       "      <th>门店访问量</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>美团</td>\n",
       "      <td>8184590</td>\n",
       "      <td>蛙小辣火锅杯（合生汇店）</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.30</td>\n",
       "      <td>225.65</td>\n",
       "      <td>2711</td>\n",
       "      <td>173</td>\n",
       "      <td>7.43</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>1501603</td>\n",
       "      <td>1427.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>1167.97</td>\n",
       "      <td>4138.0</td>\n",
       "      <td>3391.38</td>\n",
       "      <td>332.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>美团</td>\n",
       "      <td>8223184</td>\n",
       "      <td>蛙小辣美蛙火锅杯（大宁国际店）</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.54</td>\n",
       "      <td>261.10</td>\n",
       "      <td>3665</td>\n",
       "      <td>169</td>\n",
       "      <td>4.30</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1501605</td>\n",
       "      <td>11.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>660.73</td>\n",
       "      <td>3676.0</td>\n",
       "      <td>1854.76</td>\n",
       "      <td>255.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>美团</td>\n",
       "      <td>8106681</td>\n",
       "      <td>蛙小辣·美蛙火锅杯（长风大悦城店）</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.38</td>\n",
       "      <td>177.50</td>\n",
       "      <td>2115</td>\n",
       "      <td>129</td>\n",
       "      <td>6.75</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>1502265</td>\n",
       "      <td>874.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>1080.31</td>\n",
       "      <td>2989.0</td>\n",
       "      <td>2728.72</td>\n",
       "      <td>294.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>美团</td>\n",
       "      <td>8165842</td>\n",
       "      <td>蛙小辣·美蛙火锅杯（虹口足球场店）</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.47</td>\n",
       "      <td>240.30</td>\n",
       "      <td>2937</td>\n",
       "      <td>164</td>\n",
       "      <td>7.43</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>1502274</td>\n",
       "      <td>614.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>1231.86</td>\n",
       "      <td>3551.0</td>\n",
       "      <td>3606.10</td>\n",
       "      <td>326.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>饿了么</td>\n",
       "      <td>2001220953</td>\n",
       "      <td>利芳·一人食大盘鸡(国定路店)</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.55</td>\n",
       "      <td>623.50</td>\n",
       "      <td>4190</td>\n",
       "      <td>401</td>\n",
       "      <td>5.35</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>1502523</td>\n",
       "      <td>1872.0</td>\n",
       "      <td>387.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>1677.96</td>\n",
       "      <td>6062.0</td>\n",
       "      <td>6558.49</td>\n",
       "      <td>788.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1172</th>\n",
       "      <td>2020/9/3 14:33</td>\n",
       "      <td>饿了么</td>\n",
       "      <td>2001104355</td>\n",
       "      <td>蛙小辣·美蛙火锅杯麻辣烫(宝山店)</td>\n",
       "      <td>2020-09-02</td>\n",
       "      <td>1.72</td>\n",
       "      <td>32.60</td>\n",
       "      <td>251</td>\n",
       "      <td>19</td>\n",
       "      <td>13.44</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>6408364</td>\n",
       "      <td>676.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>555.97</td>\n",
       "      <td>927.0</td>\n",
       "      <td>1645.22</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1173</th>\n",
       "      <td>2020/7/25 14:28</td>\n",
       "      <td>饿了么</td>\n",
       "      <td>337460136</td>\n",
       "      <td>拌客·干拌麻辣烫(武宁路店)</td>\n",
       "      <td>2020-07-24</td>\n",
       "      <td>2.14</td>\n",
       "      <td>175.47</td>\n",
       "      <td>1126</td>\n",
       "      <td>82</td>\n",
       "      <td>5.60</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>4969885</td>\n",
       "      <td>1808.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>855.86</td>\n",
       "      <td>2934.0</td>\n",
       "      <td>2791.10</td>\n",
       "      <td>229.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1174</th>\n",
       "      <td>2020/7/18 14:28</td>\n",
       "      <td>饿了么</td>\n",
       "      <td>337460136</td>\n",
       "      <td>拌客·干拌麻辣烫(武宁路店)</td>\n",
       "      <td>2020-07-17</td>\n",
       "      <td>2.23</td>\n",
       "      <td>185.10</td>\n",
       "      <td>1548</td>\n",
       "      <td>83</td>\n",
       "      <td>5.38</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>4755649</td>\n",
       "      <td>1795.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1047.09</td>\n",
       "      <td>3343.0</td>\n",
       "      <td>3097.62</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1175</th>\n",
       "      <td>2020/7/28 14:29</td>\n",
       "      <td>饿了么</td>\n",
       "      <td>337460136</td>\n",
       "      <td>拌客·干拌麻辣烫(武宁路店)</td>\n",
       "      <td>2020-07-27</td>\n",
       "      <td>1.99</td>\n",
       "      <td>141.25</td>\n",
       "      <td>1221</td>\n",
       "      <td>71</td>\n",
       "      <td>6.21</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>5064132</td>\n",
       "      <td>1905.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>853.16</td>\n",
       "      <td>3126.0</td>\n",
       "      <td>2848.94</td>\n",
       "      <td>223.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1176</th>\n",
       "      <td>2020/7/23 14:30</td>\n",
       "      <td>饿了么</td>\n",
       "      <td>337460136</td>\n",
       "      <td>拌客·干拌麻辣烫(武宁路店)</td>\n",
       "      <td>2020-07-21</td>\n",
       "      <td>2.06</td>\n",
       "      <td>134.19</td>\n",
       "      <td>1131</td>\n",
       "      <td>65</td>\n",
       "      <td>6.48</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>4877519</td>\n",
       "      <td>2188.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>1035.14</td>\n",
       "      <td>3319.0</td>\n",
       "      <td>3173.74</td>\n",
       "      <td>230.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1156 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            updateTime  平台i        门店ID             平台门店名称          日期  \\\n",
       "0     2019/12/12 11:54   美团     8184590       蛙小辣火锅杯（合生汇店）  2019-12-10   \n",
       "1     2019/12/12 11:54   美团     8223184    蛙小辣美蛙火锅杯（大宁国际店）  2019-12-10   \n",
       "2     2019/12/12 11:54   美团     8106681  蛙小辣·美蛙火锅杯（长风大悦城店）  2019-12-10   \n",
       "3     2019/12/12 11:54   美团     8165842  蛙小辣·美蛙火锅杯（虹口足球场店）  2019-12-10   \n",
       "4     2019/12/12 11:54  饿了么  2001220953    利芳·一人食大盘鸡(国定路店)  2019-12-10   \n",
       "...                ...  ...         ...                ...         ...   \n",
       "1172    2020/9/3 14:33  饿了么  2001104355  蛙小辣·美蛙火锅杯麻辣烫(宝山店)  2020-09-02   \n",
       "1173   2020/7/25 14:28  饿了么   337460136     拌客·干拌麻辣烫(武宁路店)  2020-07-24   \n",
       "1174   2020/7/18 14:28  饿了么   337460136     拌客·干拌麻辣烫(武宁路店)  2020-07-17   \n",
       "1175   2020/7/28 14:29  饿了么   337460136     拌客·干拌麻辣烫(武宁路店)  2020-07-27   \n",
       "1176   2020/7/23 14:30  饿了么   337460136     拌客·干拌麻辣烫(武宁路店)  2020-07-21   \n",
       "\n",
       "      cpc单次点击费用  cpc总费用  cpc曝光量  cpc访问量  gmvroi  ...  无效订单   有效订单     自增主键  \\\n",
       "0          1.30  225.65    2711     173    7.43  ...   0.0   59.0  1501603   \n",
       "1          1.54  261.10    3665     169    4.30  ...   0.0   35.0  1501605   \n",
       "2          1.38  177.50    2115     129    6.75  ...   1.0   53.0  1502265   \n",
       "3          1.47  240.30    2937     164    7.43  ...   2.0   64.0  1502274   \n",
       "4          1.55  623.50    4190     401    5.35  ...   0.0  132.0  1502523   \n",
       "...         ...     ...     ...     ...     ...  ...   ...    ...      ...   \n",
       "1172       1.72   32.60     251      19   13.44  ...   2.0   27.0  6408364   \n",
       "1173       2.14  175.47    1126      82    5.60  ...   2.0   57.0  4969885   \n",
       "1174       2.23  185.10    1548      83    5.38  ...   2.0   62.0  4755649   \n",
       "1175       1.99  141.25    1221      71    6.21  ...   2.0   62.0  5064132   \n",
       "1176       2.06  134.19    1131      65    6.48  ...   2.0   65.0  4877519   \n",
       "\n",
       "       自然曝光量  自然访问量  门店下单量     门店实收   门店曝光量    门店营业额  门店访问量  \n",
       "0     1427.0  159.0   56.0  1167.97  4138.0  3391.38  332.0  \n",
       "1       11.0   86.0   32.0   660.73  3676.0  1854.76  255.0  \n",
       "2      874.0  165.0   53.0  1080.31  2989.0  2728.72  294.0  \n",
       "3      614.0  162.0   63.0  1231.86  3551.0  3606.10  326.0  \n",
       "4     1872.0  387.0  132.0  1677.96  6062.0  6558.49  788.0  \n",
       "...      ...    ...    ...      ...     ...      ...    ...  \n",
       "1172   676.0   55.0   28.0   555.97   927.0  1645.22   74.0  \n",
       "1173  1808.0  147.0   56.0   855.86  2934.0  2791.10  229.0  \n",
       "1174  1795.0  167.0   60.0  1047.09  3343.0  3097.62  250.0  \n",
       "1175  1905.0  152.0   60.0   853.16  3126.0  2848.94  223.0  \n",
       "1176  2188.0  165.0   63.0  1035.14  3319.0  3173.74  230.0  \n",
       "\n",
       "[1156 rows x 24 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=data1.dropna()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "993c6752",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "updateTime    0\n",
      "平台i           0\n",
      "门店ID          0\n",
      "平台门店名称        0\n",
      "日期            0\n",
      "cpc单次点击费用     0\n",
      "cpc总费用        0\n",
      "cpc曝光量        0\n",
      "cpc访问量        0\n",
      "gmvroi        0\n",
      "下单转换率         0\n",
      "单均gmv         0\n",
      "单均实收          0\n",
      "实收roi         0\n",
      "无效订单          0\n",
      "有效订单          0\n",
      "自增主键          0\n",
      "自然曝光量         0\n",
      "自然访问量         0\n",
      "门店下单量         0\n",
      "门店实收          0\n",
      "门店曝光量         0\n",
      "门店营业额         0\n",
      "门店访问量         0\n",
      "dtype: int64\n",
      "删除后数据总量:  (1156, 24)\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1156 entries, 0 to 1176\n",
      "Data columns (total 24 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   updateTime  1156 non-null   object \n",
      " 1   平台i         1156 non-null   object \n",
      " 2   门店ID        1156 non-null   int64  \n",
      " 3   平台门店名称      1156 non-null   object \n",
      " 4   日期          1156 non-null   object \n",
      " 5   cpc单次点击费用   1156 non-null   float64\n",
      " 6   cpc总费用      1156 non-null   float64\n",
      " 7   cpc曝光量      1156 non-null   int64  \n",
      " 8   cpc访问量      1156 non-null   int64  \n",
      " 9   gmvroi      1156 non-null   float64\n",
      " 10  下单转换率       1156 non-null   float64\n",
      " 11  单均gmv       1156 non-null   float64\n",
      " 12  单均实收        1156 non-null   float64\n",
      " 13  实收roi       1156 non-null   float64\n",
      " 14  无效订单        1156 non-null   float64\n",
      " 15  有效订单        1156 non-null   float64\n",
      " 16  自增主键        1156 non-null   int64  \n",
      " 17  自然曝光量       1156 non-null   float64\n",
      " 18  自然访问量       1156 non-null   float64\n",
      " 19  门店下单量       1156 non-null   float64\n",
      " 20  门店实收        1156 non-null   float64\n",
      " 21  门店曝光量       1156 non-null   float64\n",
      " 22  门店营业额       1156 non-null   float64\n",
      " 23  门店访问量       1156 non-null   float64\n",
      "dtypes: float64(16), int64(4), object(4)\n",
      "memory usage: 225.8+ KB\n",
      "删除后数据:  None\n"
     ]
    }
   ],
   "source": [
    "data1.dropna(how='any', inplace=True)\n",
    "print(df.isna().sum())\n",
    "print('删除后数据总量: ',data1.shape)\n",
    "print('删除后数据: ',data1.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f65b2833",
   "metadata": {},
   "outputs": [],
   "source": [
    "#缺失值处理后\n",
    "data1.to_csv(r'F:\\大二下\\数据分析与可视化\\中间数据\\\\cpc_1.csv',index=False,encoding='ANSI')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d455a3f",
   "metadata": {},
   "source": [
    "### 1.2重复值分析"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20e4a438",
   "metadata": {},
   "source": [
    "import pandas as pd\n",
    "# 加载数据\n",
    "df = pd.read_csv(r'F:\\大二下\\数据分析与可视化\\中间数据\\\\cpc_1.csv',encoding='ANSI')\n",
    "# 检查重复值\n",
    "print(df.duplicated().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9c21ce0d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0          8184590\n",
      "1          8223184\n",
      "2          8106681\n",
      "3          8165842\n",
      "4       2001220953\n",
      "           ...    \n",
      "1172    2001104355\n",
      "1173     337460136\n",
      "1174     337460136\n",
      "1175     337460136\n",
      "1176     337460136\n",
      "Name: 门店ID, Length: 1156, dtype: int64\n",
      "重复值个数为: 0\n"
     ]
    }
   ],
   "source": [
    "duplicates=df['门店ID'][df['门店ID'].duplicated(keep=False)]\n",
    "print(duplicates)\n",
    "print(\"重复值个数为:\",df.duplicated().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bea8fdd1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据类型转换\n",
    "df['日期'] = pd.to_datetime(df['日期'])\n",
    "# 数据标准化\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "scaler = StandardScaler()\n",
    "df['单均实收标准化'] = scaler.fit_transform(df[['单均实收']])\n",
    "\n",
    "# 保存清洗后的数据\n",
    "df.to_csv('processed_dataset.csv', index=False,encoding='ANSI')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2701677c",
   "metadata": {},
   "source": [
    "### 1.3异常值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "82aee1fd",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 4000x4000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#异常值检测\n",
    "#画箱线图\n",
    "sns.set(font='SimHei',style=\"whitegrid\")#设置字体和背景风格\n",
    "plt.figure(figsize=(40,40))\n",
    "plt.boxplot(df[[\"cpc单次点击费用\",\"cpc总费用\",\"cpc访问量\",\"gmvroi\",\"下单转换率\",\"单均gmv\",\"单均实收\",\"实收roi\",\"无效订单\",\"有效订单\",\"自然曝光量\",\"自然访问量\",\"门店下单量\",\"门店实收\",\"门店曝光量\",\"门店营业额\",\"门店访问量\"]],labels=[\"cpc单次点击费用\",\"cpc总费用\",\"cpc访问量\",\"gmvroi\",\"下单转换率\",\"单均gmv\",\"单均实收\",\"实收roi\",\"无效订单\",\"有效订单\",\"自然曝光量\",\"自然访问量\",\"门店下单量\",\"门店实收\",\"门店曝光量\",\"门店营业额\",\"门店访问量\"],sym=\"o\",notch=True,vert=False)#异常值用“o”表示 ,\"自增主键\"\n",
    "plt.xticks(fontsize=30)\n",
    "plt.yticks(fontsize=30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7da562ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 4000x2000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#异常值检测\n",
    "#画箱线图\n",
    "sns.set(font='SimHei',style=\"whitegrid\")#设置字体和背景风格\n",
    "plt.figure(figsize=(40,20))\n",
    "plt.subplot(321)\n",
    "plt.boxplot(df[[\"cpc单次点击费用\",\"cpc总费用\",\"cpc访问量\",\"gmvroi\",\"下单转换率\"]],labels=[\"cpc单次点击费用\",\"cpc总费用\",\"cpc访问量\",\"gmvroi\",\"下单转换率\"],sym=\"o\",notch=True,vert=False)#异常值用“o”表示 ,\"自增主键\"\n",
    "plt.xticks(fontsize=30)\n",
    "plt.yticks(fontsize=30)\n",
    "plt.subplot(323)\n",
    "plt.boxplot(df[[\"单均gmv\",\"单均实收\",\"实收roi\",\"无效订单\",\"有效订单\"]],labels=[\"单均gmv\",\"单均实收\",\"实收roi\",\"无效订单\",\"有效订单\"],sym=\"o\",notch=True,vert=False)#异常值用“o”表示 ,\"自增主键\"\n",
    "plt.xticks(fontsize=30)\n",
    "plt.yticks(fontsize=30)\n",
    "plt.subplot(325)\n",
    "plt.boxplot(df[[\"自然曝光量\",\"自然访问量\",\"门店下单量\",\"门店实收\",\"门店曝光量\",\"门店营业额\",\"门店访问量\"]],labels=[\"自然曝光量\",\"自然访问量\",\"门店下单量\",\"门店实收\",\"门店曝光量\",\"门店营业额\",\"门店访问量\"],sym=\"o\",notch=True,vert=False)#异常值用“o”表示 ,\"自增主键\"\n",
    "plt.xticks(fontsize=30)\n",
    "plt.yticks(fontsize=30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "20877f94",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#df_filtered = df[(df['自然曝光量'] >= 0) | (df['自然访问量'] >= 0)]\n",
    "#df_filtered"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "72871d71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>updateTime</th>\n",
       "      <th>平台i</th>\n",
       "      <th>门店ID</th>\n",
       "      <th>平台门店名称</th>\n",
       "      <th>日期</th>\n",
       "      <th>cpc单次点击费用</th>\n",
       "      <th>cpc总费用</th>\n",
       "      <th>cpc曝光量</th>\n",
       "      <th>cpc访问量</th>\n",
       "      <th>gmvroi</th>\n",
       "      <th>...</th>\n",
       "      <th>有效订单</th>\n",
       "      <th>自增主键</th>\n",
       "      <th>自然曝光量</th>\n",
       "      <th>自然访问量</th>\n",
       "      <th>门店下单量</th>\n",
       "      <th>门店实收</th>\n",
       "      <th>门店曝光量</th>\n",
       "      <th>门店营业额</th>\n",
       "      <th>门店访问量</th>\n",
       "      <th>单均实收标准化</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>美团</td>\n",
       "      <td>8184590</td>\n",
       "      <td>蛙小辣火锅杯（合生汇店）</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.30</td>\n",
       "      <td>225.65</td>\n",
       "      <td>2711.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>7.43</td>\n",
       "      <td>...</td>\n",
       "      <td>59.0</td>\n",
       "      <td>1501603.0</td>\n",
       "      <td>1427.0</td>\n",
       "      <td>159.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>1167.97</td>\n",
       "      <td>4138.0</td>\n",
       "      <td>3391.38</td>\n",
       "      <td>332.0</td>\n",
       "      <td>-0.214016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>美团</td>\n",
       "      <td>8223184</td>\n",
       "      <td>蛙小辣美蛙火锅杯（大宁国际店）</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.54</td>\n",
       "      <td>261.10</td>\n",
       "      <td>3665.0</td>\n",
       "      <td>169.0</td>\n",
       "      <td>4.30</td>\n",
       "      <td>...</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1501605.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>660.73</td>\n",
       "      <td>3676.0</td>\n",
       "      <td>1854.76</td>\n",
       "      <td>255.0</td>\n",
       "      <td>-0.399815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>美团</td>\n",
       "      <td>8106681</td>\n",
       "      <td>蛙小辣·美蛙火锅杯（长风大悦城店）</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.38</td>\n",
       "      <td>177.50</td>\n",
       "      <td>2115.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>6.75</td>\n",
       "      <td>...</td>\n",
       "      <td>53.0</td>\n",
       "      <td>1502265.0</td>\n",
       "      <td>874.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>1080.31</td>\n",
       "      <td>2989.0</td>\n",
       "      <td>2728.72</td>\n",
       "      <td>294.0</td>\n",
       "      <td>-0.096882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>美团</td>\n",
       "      <td>8165842</td>\n",
       "      <td>蛙小辣·美蛙火锅杯（虹口足球场店）</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.47</td>\n",
       "      <td>240.30</td>\n",
       "      <td>2937.0</td>\n",
       "      <td>164.0</td>\n",
       "      <td>7.43</td>\n",
       "      <td>...</td>\n",
       "      <td>64.0</td>\n",
       "      <td>1502274.0</td>\n",
       "      <td>614.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>1231.86</td>\n",
       "      <td>3551.0</td>\n",
       "      <td>3606.10</td>\n",
       "      <td>326.0</td>\n",
       "      <td>-0.325091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019/12/12 11:54</td>\n",
       "      <td>饿了么</td>\n",
       "      <td>2001220953</td>\n",
       "      <td>利芳·一人食大盘鸡(国定路店)</td>\n",
       "      <td>2019-12-10</td>\n",
       "      <td>1.55</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4190.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.35</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1502523.0</td>\n",
       "      <td>1872.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1677.96</td>\n",
       "      <td>6062.0</td>\n",
       "      <td>6558.49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.645876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1172</th>\n",
       "      <td>2020/9/3 14:33</td>\n",
       "      <td>饿了么</td>\n",
       "      <td>2001104355</td>\n",
       "      <td>蛙小辣·美蛙火锅杯麻辣烫(宝山店)</td>\n",
       "      <td>2020-09-02</td>\n",
       "      <td>1.72</td>\n",
       "      <td>32.60</td>\n",
       "      <td>251.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>13.44</td>\n",
       "      <td>...</td>\n",
       "      <td>27.0</td>\n",
       "      <td>6408364.0</td>\n",
       "      <td>676.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>555.97</td>\n",
       "      <td>927.0</td>\n",
       "      <td>1645.22</td>\n",
       "      <td>74.0</td>\n",
       "      <td>-0.054472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1173</th>\n",
       "      <td>2020/7/25 14:28</td>\n",
       "      <td>饿了么</td>\n",
       "      <td>337460136</td>\n",
       "      <td>拌客·干拌麻辣烫(武宁路店)</td>\n",
       "      <td>2020-07-24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>175.47</td>\n",
       "      <td>1126.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>5.60</td>\n",
       "      <td>...</td>\n",
       "      <td>57.0</td>\n",
       "      <td>4969885.0</td>\n",
       "      <td>1808.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>855.86</td>\n",
       "      <td>2934.0</td>\n",
       "      <td>2791.10</td>\n",
       "      <td>229.0</td>\n",
       "      <td>-1.179360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1174</th>\n",
       "      <td>2020/7/18 14:28</td>\n",
       "      <td>饿了么</td>\n",
       "      <td>337460136</td>\n",
       "      <td>拌客·干拌麻辣烫(武宁路店)</td>\n",
       "      <td>2020-07-17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>185.10</td>\n",
       "      <td>1548.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>5.38</td>\n",
       "      <td>...</td>\n",
       "      <td>62.0</td>\n",
       "      <td>4755649.0</td>\n",
       "      <td>1795.0</td>\n",
       "      <td>167.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>1047.09</td>\n",
       "      <td>3343.0</td>\n",
       "      <td>3097.62</td>\n",
       "      <td>250.0</td>\n",
       "      <td>-0.801705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1175</th>\n",
       "      <td>2020/7/28 14:29</td>\n",
       "      <td>饿了么</td>\n",
       "      <td>337460136</td>\n",
       "      <td>拌客·干拌麻辣烫(武宁路店)</td>\n",
       "      <td>2020-07-27</td>\n",
       "      <td>1.99</td>\n",
       "      <td>141.25</td>\n",
       "      <td>1221.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>6.21</td>\n",
       "      <td>...</td>\n",
       "      <td>62.0</td>\n",
       "      <td>5064132.0</td>\n",
       "      <td>1905.0</td>\n",
       "      <td>152.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>853.16</td>\n",
       "      <td>3126.0</td>\n",
       "      <td>2848.94</td>\n",
       "      <td>223.0</td>\n",
       "      <td>-1.433823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1176</th>\n",
       "      <td>2020/7/23 14:30</td>\n",
       "      <td>饿了么</td>\n",
       "      <td>337460136</td>\n",
       "      <td>拌客·干拌麻辣烫(武宁路店)</td>\n",
       "      <td>2020-07-21</td>\n",
       "      <td>NaN</td>\n",
       "      <td>134.19</td>\n",
       "      <td>1131.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>6.48</td>\n",
       "      <td>...</td>\n",
       "      <td>65.0</td>\n",
       "      <td>4877519.0</td>\n",
       "      <td>2188.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>1035.14</td>\n",
       "      <td>3319.0</td>\n",
       "      <td>3173.74</td>\n",
       "      <td>230.0</td>\n",
       "      <td>-0.995581</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1156 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            updateTime  平台i        门店ID             平台门店名称         日期  \\\n",
       "0     2019/12/12 11:54   美团     8184590       蛙小辣火锅杯（合生汇店） 2019-12-10   \n",
       "1     2019/12/12 11:54   美团     8223184    蛙小辣美蛙火锅杯（大宁国际店） 2019-12-10   \n",
       "2     2019/12/12 11:54   美团     8106681  蛙小辣·美蛙火锅杯（长风大悦城店） 2019-12-10   \n",
       "3     2019/12/12 11:54   美团     8165842  蛙小辣·美蛙火锅杯（虹口足球场店） 2019-12-10   \n",
       "4     2019/12/12 11:54  饿了么  2001220953    利芳·一人食大盘鸡(国定路店) 2019-12-10   \n",
       "...                ...  ...         ...                ...        ...   \n",
       "1172    2020/9/3 14:33  饿了么  2001104355  蛙小辣·美蛙火锅杯麻辣烫(宝山店) 2020-09-02   \n",
       "1173   2020/7/25 14:28  饿了么   337460136     拌客·干拌麻辣烫(武宁路店) 2020-07-24   \n",
       "1174   2020/7/18 14:28  饿了么   337460136     拌客·干拌麻辣烫(武宁路店) 2020-07-17   \n",
       "1175   2020/7/28 14:29  饿了么   337460136     拌客·干拌麻辣烫(武宁路店) 2020-07-27   \n",
       "1176   2020/7/23 14:30  饿了么   337460136     拌客·干拌麻辣烫(武宁路店) 2020-07-21   \n",
       "\n",
       "      cpc单次点击费用  cpc总费用  cpc曝光量  cpc访问量  gmvroi  ...  有效订单       自增主键   自然曝光量  \\\n",
       "0          1.30  225.65  2711.0   173.0    7.43  ...  59.0  1501603.0  1427.0   \n",
       "1          1.54  261.10  3665.0   169.0    4.30  ...  35.0  1501605.0    11.0   \n",
       "2          1.38  177.50  2115.0   129.0    6.75  ...  53.0  1502265.0   874.0   \n",
       "3          1.47  240.30  2937.0   164.0    7.43  ...  64.0  1502274.0   614.0   \n",
       "4          1.55     NaN  4190.0     NaN    5.35  ...   NaN  1502523.0  1872.0   \n",
       "...         ...     ...     ...     ...     ...  ...   ...        ...     ...   \n",
       "1172       1.72   32.60   251.0    19.0   13.44  ...  27.0  6408364.0   676.0   \n",
       "1173        NaN  175.47  1126.0    82.0    5.60  ...  57.0  4969885.0  1808.0   \n",
       "1174        NaN  185.10  1548.0    83.0    5.38  ...  62.0  4755649.0  1795.0   \n",
       "1175       1.99  141.25  1221.0    71.0    6.21  ...  62.0  5064132.0  1905.0   \n",
       "1176        NaN  134.19  1131.0    65.0    6.48  ...  65.0  4877519.0  2188.0   \n",
       "\n",
       "      自然访问量  门店下单量     门店实收   门店曝光量    门店营业额  门店访问量   单均实收标准化  \n",
       "0     159.0   56.0  1167.97  4138.0  3391.38  332.0 -0.214016  \n",
       "1      86.0   32.0   660.73  3676.0  1854.76  255.0 -0.399815  \n",
       "2     165.0   53.0  1080.31  2989.0  2728.72  294.0 -0.096882  \n",
       "3     162.0   63.0  1231.86  3551.0  3606.10  326.0 -0.325091  \n",
       "4       NaN    NaN  1677.96  6062.0  6558.49    NaN -1.645876  \n",
       "...     ...    ...      ...     ...      ...    ...       ...  \n",
       "1172   55.0   28.0   555.97   927.0  1645.22   74.0 -0.054472  \n",
       "1173  147.0   56.0   855.86  2934.0  2791.10  229.0 -1.179360  \n",
       "1174  167.0   60.0  1047.09  3343.0  3097.62  250.0 -0.801705  \n",
       "1175  152.0   60.0   853.16  3126.0  2848.94  223.0 -1.433823  \n",
       "1176  165.0   63.0  1035.14  3319.0  3173.74  230.0 -0.995581  \n",
       "\n",
       "[1156 rows x 25 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 假设df是你的DataFrame\n",
    "\n",
    "# 计算四分位数和IQR\n",
    "Q1 = df.quantile(0.25)\n",
    "Q3 = df.quantile(0.75)\n",
    "IQR = Q3 - Q1\n",
    "\n",
    "# 定义一个函数来处理异常值\n",
    "def handle_outliers(df, col):\n",
    "    if col in df.columns:\n",
    "        # 计算列的四分位数和IQR\n",
    "        col_Q1 = Q1[col]\n",
    "        col_Q3 = Q3[col]\n",
    "        col_IQR = IQR[col]\n",
    "        \n",
    "        # 删除异常值\n",
    "        return df[col][(df[col] >= (col_Q1 - 1.5 * col_IQR)) & (df[col] <= (col_Q3 + 1.5 * col_IQR))]\n",
    "    else:\n",
    "        # 如果列名不在df中，返回原始Series\n",
    "        return df[col]\n",
    "\n",
    "# 应用处理策略到所有数值型字段\n",
    "for col in df.select_dtypes(include='number').columns:\n",
    "    df[col] = handle_outliers(df, col)\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "77c8ed13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# 绘制箱线图来检查异常值处理情况\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.boxplot(data=df)\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "388053fa",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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TE3PT86eVmJgYmZmvywAAAAD+kcxMfn5+vi4jdcGrcOHCqV7A2bNnFRUVpWeffVZ169bV4cOHNWDAAGXLlk0DBw5UVFTUFe+bJ08enThxItXLSik+Pl7h4eG39B5pITw8XFmyZPF1GQAAAMA/Vno4H09V8LoZd955pzZt2uQ8vueee9SzZ0+9+eabGjhwoDJmzHjFisiaNasiIiJuabmZM2dWkSJFbuk90oLH41G2bNl8XQYAAADwj7R//35flyDpNgSvq8mfP7/OnDmjuLg45cuXT4cOHfJ6/sKFC7ecSv38/JQ9e/Zbeo+0kD179nRRBwAAAPBPlB66GUq34Xe81q1bp169enlN27p1q+677z5lyZJF5cqV09atW5WYmOg8HxYWpvvuu8/t0gAAAADgtkiT4JWUlKTIyEiv8JSsRIkS+vbbbzVjxgzt3btXc+fO1cyZM9WpUydJUtWqVZWYmKgZM2ZIkkJDQ7Vz507Vrl07LUoDAAAAAJ9Lk+B1/PhxVaxYUfv27bviufz58+vdd9/V0qVL1bp1a82fP19DhgxxRkbMnDmzxo8frxkzZuiRRx5Rr169FBwcrIceeigtSgMAAAAAn7upe7xmz57t9bhAgQLXHUGwSpUqWrZs2TWfr1q1qkJDQ7Vt2zYVKFCA0AUAAADgb8Ung2tcTa5cuVSzZk1flwEAAAAAac71wTUAAAAA4J+O4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4LJUBy8zU3BwsEJCQm54nj/++EPBwcHy9/dX6dKl1bt3b/3xxx/O82PGjJHH4/H6FxoamtrSAAAAACBdSlXwiouL0+DBg7VmzZpULeTFF19UTEyMli5dqs8//1y//vqrxowZ4zy/fft2jRw5Ups3b3b+1axZM1XLAAAAAID0KlXBa9iwYcqYMaP8/f1veJ7IyEjlypVLkyZNUuHChfXAAw+ocePG2r59uyQpNjZWP//8s6pXr67cuXM7/zJnzpyqDwIAAAAA6VWm1Ly4W7duKly4sNq3b3/D8+TOnVsTJ070mvbLL7+oSJEikqSdO3dKkjp37qzDhw+rUKFC6t69uxo2bJia0q5gZoqJibml90gLMTExMjNflwEAAAD8I5mZ/Pz8fF1G6oJX4cKFb3mB+/bt04oVK/TBBx9IksLDw1WkSBENHTpUhQoV0rJlyzRgwAAVLVpUxYoVu+nlxMfHKzw8/JbrvVXh4eHKkiWLr8sAAAAA/rHSw/l4qoLXrbp06ZL69eunRo0aqXLlypKktm3bqm3bts5runTpoq+//lrLly+/peCVOXNmp1XNlzwej7Jly+brMgAAAIB/pP379/u6BEm3OXi99NJLypw5s4YNG3bd1+XPn18nTpy4pWX5+fkpe/bst/QeaSF79uzpog4AAADgnyg9dDOUbuPveI0fP15btmzRlClTvFqABg8erBUrVjiPExIStGPHDhUqVOh2lQYAAAAArkqTFq+kpCRFR0crR44cypgx4xXPf/DBB5o7d64++OAD5cyZUxcuXJAk5ciRQyVKlND48eOVN29e5cqVSzNnztS5c+cUGBiYFqUBAAAAgM+lSfA6fvy46tSpo6VLl6p48eJXPP/ee+/p4sWLatWqldf08PBwtWvXTmfOnFG/fv3k5+enUqVKad68ebr33nvTojQAAAAA8LmbCl6zZ8/2elygQIHrjiD4448/XvM5Pz8/9enTR3369LmZUgAAAAAg3btt93gBAAAAwD8VwQsAAAAAXEbwAgAAAACXEbwAAAAAwGUELwAAAABwGcELAAAAAFxG8AIAAAAAlxG8AAAAAMBlBC8AAAAAcBnBCwAAAABcRvACAAAAAJcRvAAAAADAZQQvAAAAAHAZwQsAAAAAXEbwAgAAAACXEbwAAAAAwGUELwAAAABwGcELAAAAAFxG8AIAAAAAlxG8AAAAAMBlBC8AAAAAcBnBCwAAAABcRvACAAAAAJcRvAAAAADAZQQvAAAAAHAZwQsAAAAAXEbwAgAAAACXEbwAAAAAwGUELwAAAABwGcELAAAAAFxG8AIAAAAAlxG8AAAAAMBlBC8AAAAAcBnBCwAAAABcRvACAAAAAJcRvAAAAADAZQQvAAAAAHAZwQsAAAAAXEbwAgAAAACXEbwAAAAAwGUELwAAAABwGcELAAAAAFyW6uBlZgoODlZISMgNz5OYmKixY8eqcuXKqlWrllauXOn1/MGDB9W+fXv5+/urQ4cOOn78eGrLAgAAAIB0K1XBKy4uToMHD9aaNWtStZC33npLy5YtU0hIiCZOnKhRo0bp559/liTFxsaqc+fOyps3rz777DNVq1ZNPXv2VFJSUqqWAQAAAADpVaqC17Bhw5QxY0b5+/vf8DxxcXGaM2eOevXqpUqVKjmtWvPmzZMkrV69WmfPntWIESNUqFAhBQUFKSYmRtu2bUvdJwEAAACAdCpTal7crVs3FS5cWO3bt7/heX777TddvHhRjz76qDPN399fy5YtkyTt3r1bpUuXVp48eZzny5Ytq7CwMFWoUCE15XkxM8XExNz0/GklJiZGZubrMgAAAIB/JDOTn5+fr8tIXfAqXLhwqhcQFRWlzJkz67777nOm5c6dWydOnHCe//P75smTx3n+ZsXHxys8PPyW3iMthIeHK0uWLL4uAwAAAPjHSg/n46kKXje1gEyZlDVrVq9p2bJlc1qjMmbMeMWKyJo1qyIiIm5puZkzZ1aRIkVu6T3SgsfjUbZs2XxdBgAAAPCPtH//fl+XIOk2BK98+fIpOjpaMTExyp49uyQpOjraCVv58uXToUOHvOa5cOHCLadSPz8/Z3m+lD179nRRBwAAAPBPlB66GUq34Xe8ChYsqLvvvlubN292poWFhTldD8uVK6etW7cqMTHxqs8DAAAAwF9dmgSvpKQkRUZGeoUnZwEZMqhBgwaaNGmSoqOjdfbsWc2aNUu1a9eWJFWtWlWJiYmaMWOGJCk0NFQ7d+50ngcAAACAv7o0CV7Hjx9XxYoVtW/fvqs+HxwcrKxZs+rRRx9VrVq1lCNHDnXr1k3S5Xuxxo8frxkzZuiRRx5Rr169FBwcrIceeigtSgMAAAAAn7upe7xmz57t9bhAgQLXHUEwZ86cmjNnjrZv3664uDhVqFBBmTL9d9FVq1ZVaGiotm3bpgIFChC6AAAAAPytuD64RrIMGTKoXLly13w+V65cqlmz5u0qBwAAAABuG9cH1wAAAACAfzqCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAy1IVvM6cOaMePXrI399fzZo10969e//nPEePHpXH47nqv02bNkmSxowZc8VzoaGhN/eJAAAAACCdyXSjLzQz9ezZU35+flq8eLF27NihHj16aNmyZcqRI8c157v//vu1efNmr2mbN2/W0KFDVbJkSUnS9u3bNXLkSAUEBDivyZ49e2o/CwAAAACkSzfc4rVt2zb99NNPGjVqlB588EE1bdpURYoU+Z8tUxkyZFDu3Lmdf7ly5dK7776rF154QTlz5lRsbKx+/vlnVa9e3et1mTNnvuUPBwAAAADpwQ23eO3evVsFCxZUkSJFnGn+/v4KCwtT48aNb3iBq1atUnR0tJ5++mlJ0s6dOyVJnTt31uHDh1WoUCF1795dDRs2vOH3vBozU0xMzC29R1qIiYmRmfm6DAAAAOAfyczk5+fn6zJuPHhFRUWpcOHCXtPy5Mmj3bt3p2qB06dPV+fOnZUhw+XGtvDwcBUpUkRDhw5VoUKFtGzZMg0YMEBFixZVsWLFUvXeKcXHxys8PPym508r4eHhypIli6/LAAAAAP6x0sP5+A0Hr0yZMl1RcLZs2VLVqrRx40adOHFCTZo0caa1bdtWbdu2dR536dJFX3/9tZYvX35LwStz5sxerXO+4vF4lC1bNl+XAQAAAPwj7d+/39clSEpF8MqXL5/OnDnjNS06OjpV6XHRokVq0KDB/5wnf/78OnHixA2/79X4+fmliwE6smfPni7qAAAAAP6J0kM3QykVg2uUK1dOe/fuVWRkpDMtLCxM99133w3NHx0drdDQ0Cvu3Ro8eLBWrFjhPE5ISNCOHTtUqFChGy0NAAAAANK1Gw5eDz30kIoWLaqJEycqKSlJYWFhWrt2rWrXrq2kpCRFRkYqMTHxmvNv2LBBWbNmVenSpb2mlyhRQuPHj9d3332nsLAwDRgwQOfOnVNgYODNfyoAAAAASEduuKuhJI0ePVrdunXTqlWrFBUVpebNm6tGjRo6evSo6tSpo6VLl6p48eJXnffbb79VhQoVnEE1krVr105nzpxRv3795Ofnp1KlSmnevHm69957b/5TAQAAAEA6kqrgVaxYMa1atUpbt27VnXfeqRIlSkiSChQo8D9HEBw5cuRVp/v5+alPnz7q06dPakoBAAAAgL+MVAUv6fJgEdWrV3ejFgAAAAD4W7rhe7wAAAAAADeH4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4LFXB68yZM+rRo4f8/f3VrFkz7d2794bmCw8Pl8fj8frXo0cP5/mDBw+qffv28vf3V4cOHXT8+PHUfQoAAAAASMcy3egLzUw9e/aUn5+fFi9erB07dqhHjx5atmyZcuTIcd15t2/fripVqmjy5Mn/XXCmy4uOjY1V586dVaJECX322WdatWqVevbsqUWLFilDBhrkAAAAAPz13XCy2bZtm3766SeNGjVKDz74oJo2baoiRYooNDT0huatVKmScufO7fy74447JEmrV6/W2bNnNWLECBUqVEhBQUGKiYnRtm3bbv5TAQAAAEA6csMtXrt371bBggVVpEgRZ5q/v7/CwsLUuHHj6867detW7dq1S++//76yZs2qevXq6cUXX1T27Nm1e/dulS5dWnny5HFeX7ZsWYWFhalChQo38ZEuMzPFxMTc9PxpJSYmRmbm6zIAAACAfyQzk5+fn6/LuPHgFRUVpcKFC3tNy5Mnj3bv3n3d+c6ePauoqCg9++yzqlu3rg4fPqwBAwYoW7ZsGjhw4DXf98SJE6n4GFeKj49XeHj4Lb1HWggPD1eWLFl8XQYAAADwj5UezsdvOHhlypTpioKzZcv2P1uV7rzzTm3atMl5fM8996hnz5568803NXDgQGXMmPGK982aNasiIiJutLSrypw5s1frnK94PB5ly5bN12UAAAAA/0j79+/3dQmSUhG88uXLpzNnznhNi46Ovqn0mD9/fp05c0ZxcXHKly+fDh065PX8hQsXbjmV+vn5KXv27Lf0Hmkhe/bs6aIOAAAA4J8oPXQzlFIxuEa5cuW0d+9eRUZGOtPCwsJ03333XXe+devWqVevXl7Ttm7dqvvuu09ZsmRRuXLltHXrViUmJqbqfQEAAADgr+KGg9dDDz2kokWLauLEiUpKSlJYWJjWrl2r2rVrKykpSZGRkV7hKVmJEiX07bffasaMGdq7d6/mzp2rmTNnqlOnTpKkqlWrKjExUTNmzJAkhYaGaufOnapdu3YafUQAAAAA8K1U/VDW6NGjtW7dOlWpUkWtWrVS06ZNVaNGDR0/flwVK1bUvn37rpgnf/78evfdd7V06VK1bt1a8+fP15AhQ9S+fXtJl+/FGj9+vGbMmKFHHnlEvXr1UnBwsB566KG0+YQAAAAA4GM3fI+XJBUrVkyrVq3S1q1bdeedd6pEiRKSpAIFClx3BMEqVapo2bJl13y+atWqCg0N1bZt21SgQAFCFwAAAIC/lVQFL+nyYBHVq1dP80Jy5cqlmjVrpvn7AgAAAICvpaqrIQAAAAAg9QheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuS1XwOnPmjHr06CF/f381a9ZMe/fuvaH5/vjjDwUHB8vf31+lS5dW79699ccffzjPjxkzRh6Px+tfaGho6j4JAAAAAKRTmW70hWamnj17ys/PT4sXL9aOHTvUo0cPLVu2TDly5LjuvC+++KLMTEuXLnXeZ8yYMRo7dqwkafv27Ro5cqQCAgKcebJnz36THwkAAAAA0pcbbvHatm2bfvrpJ40aNUoPPvigmjZtqiJFivzPlqnIyEjlypVLkyZNUuHChfXAAw+ocePG2r59uyQpNjZWP//8s6pXr67cuXM7/zJnznxLHwwAAAAA0osbbvHavXu3ChYsqCJFijjT/P39FRYWpsaNG19zvty5c2vixIle03755RfnfXbu3ClJ6ty5sw4fPqxChQqpe/fuatiwYao+yJ+ZmWJiYm7pPdJCTEyMzMzXZQAAAAD/SGYmPz8/X5dx48ErKipKhQsX9pqWJ08e7d69O1UL3Ldvn1asWKEPPvhAkhQeHq4iRYpo6NChKlSokJYtW6YBAwaoaNGiKlasWKreO6X4+HiFh4ff9PxpJTw8XFmyZPF1GQAAAMA/Vno4H7/h4JUpU6YrCs6WLVuqWpUuXbqkfv36qVGjRqpcubIkqW3btmrbtq3zmi5duujrr7/W8uXLbyl4Zc6c2at1zlc8Ho+yZcvm6zIAAACAf6T9+/f7ugRJqQhe+fLl05kzZ7ymRUdHpyo9vvTSS8qcObOGDRt23dflz59fJ06cuOH3vRo/P790MUBH9uzZ00UdAAAAwD9ReuhmKKVicI1y5cpp7969ioyMdKaFhYXpvvvuu6H5x48fry1btmjKlCleLUCDBw/WihUrnMcJCQnasWOHChUqdKOlAQAAAEC6dsPB66GHHlLRokU1ceJEJSUlKSwsTGvXrlXt2rWVlJSkyMhIJSYmXnXeDz74QHPnztWkSZOUM2dOXbhwQRcuXJAklShRQuPHj9d3332nsLAwDRgwQOfOnVNgYGDafEIAAAAA8LEb7mooSaNHj1a3bt20atUqRUVFqXnz5qpRo4aOHj2qOnXqaOnSpSpevPgV87333nu6ePGiWrVq5TU9PDxc7dq105kzZ9SvXz/5+fmpVKlSmjdvnu69995b+2QAAAAAkE6kKngVK1ZMq1at0tatW3XnnXeqRIkSkqQCBQpcdwTBH3/88ZrP+fn5qU+fPurTp09qSgEAAACAv4xUBS/p8mAR1atXd6MWAAAAAPhbuuF7vAAAAAAAN4fgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuy+TrAgAAgO8EBAQ4/79mzRofVgIAf28Er7+Y9HiApKYb06dPH/38888qWbKk3nzzTV+XIyl9rqf0pk2bNjpz5oz+9a9/ad68eb4uR5K0ceNGvfPOO3r++edVpUoVX5cjSWrYsKHi4uKUJUsWLV++3NflpFvp7Tu3cOHCKx63aNHCR9X8V3pbT5L0xBNPyMzk5+en1atX+7ocSenze5cej3UjRozQ+vXrVaNGDQ0ZMsTX5ahLly46fPiwChUqpOnTp/u6HEnpc1tKj8e6W0VXw7+QoUOHXvexL8ycOfO6j33h448/vu5jXzhy5Ih+/vlnSdLPP/+sI0eO+Lii9Pm3S292796tM2fOSJLOnDmj3bt3+7gi6dKlSwoJCdGpU6cUEhKiS5cu+bokbdiwQXFxcZKkuLg4bdiwwccVpU9XCzm+9v7771/3sS/069fvuo99YcWKFTIzSZKZacWKFT6uKH1+79Ljse7UqVNav369JGn9+vU6deqUT+vZv3+/Dh8+LEk6fPiw9u/f79N6pPS5LaXHY11aSFXwOnPmjHr06CF/f381a9ZMe/fuvaH5EhMTNXbsWFWuXFm1atXSypUrvZ4/ePCg2rdvL39/f3Xo0EHHjx9PTVk3JDYxQZcS4q/4FxMfp/OXYm76X0x83BXvGZuYkOb1S9KmTZuu+9gX0mPISY+BomfPnl6Pg4ODfVTJf6XHv11606dPn+s+9oVPPvlEERERkqSIiAjNnz/fxxVJr7/++nUf4zJfhhwzU0xMjNe/Vq1aXfW1rVq18npdcuC4XXbu3Hndx74wadKk6z72hfT4vUuPx7oXXnjB67Gv9+O9evW67mNfSI/bUno81qUFP7vBPaqZqXXr1vLz89PIkSO1Y8cOhYSEaNmyZcqRI8d1550wYYKWLFmiiRMnKnPmzAoODtbUqVNVsmRJxcbGqn79+ipRooQGDBigVatWafXq1Vq0aJEyZLi5BrnknXTRokXVuHHjm3qPtPLZZ58pe/bsXtPMTOfOnbvmPElJSYqKivKa1rVr12u+ftq0ac7/58qV67rrLW/evPLz87ti+s3U1KtXr6tegciWLZsmT57sak1Xq0eS+vbtq+jo6Cum58yZUxMnTvRJTV988YU+/fTTK6Y3a9ZMTz75pE9qSou/3bXqudmabtTtqunDDz/Ud999d8Vrq1WrpmeeecYnNZ06dUqvvPKKkpKSnGkZMmTQ66+/rvz58/ukpnHjxl31im3RokX14osv3nJNN7NvSo3bVdOAAQN0/vz5K16bJ08evfHGGzdUz83WZGZ65ZVXtG/fvmu+7/V4PB699tpr19xm0nI9+fJYd61taciQIVdtJcmfP79GjBjhk5pu9Ht3O/fhaXGsS+uavv/+e82aNeuK6c8++6yqVq1622tauHCh1q5de8Vr69ate0UX33/yPtyNY11yNihVqtQ1a7kdbjh4bd26VW3atNEXX3yhIkWKSJI6d+6sRo0aXTfcxMXFqXLlyho8eLBatmwp6fLO89ChQxo5cqQ+//xzDRs2TOvWrVOePHkkSfXq1dPw4cNVoUKFm/pQO3fulJmpQIEC17yid7t88sknypYtm/PYzDR48OAbbi1Ma8WLF9eoUaO8vhzURE1pVQ81UVNa1sR3jpqo6fbWQ03UlJY1pafv3P79++Xn5+fz4HXDg2vs3r1bBQsWdEKXJPn7+yssLOy6weu3337TxYsX9eijj3rNt2zZMud9S5cu7YQuSSpbtqzCwsJuOnhJUnx8vA4cOKDXXnvtuq8zM8XHx9/0cjJnznzNqw6SdODAgSs2wpiYmJte3q26ePGi9uzZQ03U5Eo91ERNaVkT3zlqoqbbWw81UVNa1pTevnNZsmTxWS3JbrjF691339XWrVs1Y8YMZ9rs2bO1ceNGvfvuu9ecb8uWLXr22We1a9cuZ1p4eLjatm2rLVu26OWXX1bGjBm9+pOOGTNGiYmJevnll2/mMzktXkWLFr2p+d1mZlftcpIsKSnJq7vc8ePHNWbMmGu+ftCgQbr//vslXe5Sd72uDnny5LlmU3Bqajp37pxeeeWVa77+9ddfV968eV2r6c/1SFJkZOR1RysaMWKEcufOfVtrSkhIUN++fa+5nIkTJypTpky3taa0+ttdq56bqSk1bkdNcXFx6t+//zVrGD9+vNcO/HbUZGaaMmWKwsPDve658fPzU7FixdStWzev5dyOmmJiYjRw4MCrvlaSxo4d69XV+mZqSu2+KbVuR01RUVHXPZ6NHDlSuXLl+p/13EpNZubcPJ/sxRdfvOo8+fLl8zrmZMmS5boXGNNqPR0+fFjjx4+/5uv79++vQoUKSbp9+8vo6Gi99NJL11zOqFGjlDNnzttaU2q+d7drH55Wx7q0rCkxMVF9+/a96j2Kfn5+mjhxojJmzHjbaoqPj7/uQDETJkxQ5syZncf/1H24W8e6v1yLV6ZMma5IitmyZfufSTZTpkzKmjXrNefLmDHjFe+bNWtW54a6m+Xn56c77rjjlt7DTf/rvriUihUrdt3gVbt27bQoKVU1Jb/+woULV0zPmTOnHnnkEZ/UlDdv3qv2Jb7zzjtVqVIln9TUuXNnrwsWybp27aqHH37YJzWlx7/d7ZCamurVq6dVq1ZdMb1BgwYqXbq0T2oaOHCgunTposTERGdaxowZNXDgQOfiy+2uqVSpUlcd/KBMmTLy9/e/7fXcLqmt6a677rrqce3uu+9WxYoVfVLTwoULvYZtT5aWN7Gn9lh3veB1tVpvRmrX07///W8dO3bsiukFCxa8pZ45t1JTevzepcdjXb9+/a66Tb344osqWbLkba+pRYsWVx3NtFWrVmkaCP7q+3A3jnXXu3h0O93w6BX58uVzhlVOFh0d/T+b7fLly6fo6GivgJZyvqu974ULF9JFc2B6cq3fMfHl75ssWbLkqtOvdnPt7bJgwYKrTv/kk09ucyX/FRgYeMUAK3fccYeefvppH1WUPv926U2fPn2u2FH7+fmpd+/ePqro8glgYGCgU5efn58CAwPTNHSl1oQJE646PeWAEbj2qKFz5869zZV4e+655677+HZLj8e6a42Me7WQcbukx+9dejzWBQQE6F//+pfXtLvvvlt16tTxST3PPfec0/KXLFOmTOrUqZNP6pHS57aUHo91aeWGg1e5cuW0d+9eRUZGOtPCwsJ03333XXe+ggUL6u6779bmzZuvOl+5cuW0detWr1R7I+/7T1S5cuXrPvaF1q1bX/exL3Ts2PG6j33h7bff9nocEhLio0r+Kz3+7dKbP//4Z3r4MdBWrVrprrvuknS5FSUwMNDHFemKrqvX68r6T5beQo6kK0ZSSw8/nvznK/++7hok6YoLLr68AJMsPX7v0uOx7q233vJ67Ov9eMqRg6/22BfS47aUHo91aeGGg9dDDz2kokWLauLEiUpKSlJYWJjWrl2r2rVrKykpSZGRkV7hyVlAhgxq0KCBJk2apOjoaJ09e1azZs1yusdVrVpViYmJzpWj0NBQ7dy5M826z/2dDB8+/LqPfSE9hpz0GCgKFizodGsoWbKkChYs6OOK0uffLr0pUaKEc7X0X//6l0qUKOHjii531Q4ODlb+/PkVHBzsNWqqr1SvXt3ppZAlSxZVr17dxxWlT+kx5EiXW5OS/6UHf74Cf60r8rdTgwYNvK6+N2jQwMcVpc/vXXo81uXPn181atSQJNWoUeOK4chvt6JFizr3KhYqVChdjEeQHrel9HisSws3PLiGJO3du1fdunVTTEyMoqKi1Lx5cw0fPlxHjx5VnTp1tHTpUhUvXvyK+aKjo9W1a1ft2bNHSUlJeuihh/TRRx85N6R+//33TreeyMhI9ezZUz169LjpD5VexuoHAAAA4FvpJRukKnhJl0dA2bp1q+68885UXf1NSkrS9u3bFRcXpwoVKlzRxzUqKkrbtm1TgQIF9NBDD6WmpCukl5ULAAAAwLfSSzZIdfD6K0gvKxcAAACAb6WXbHDD93gBAAAAAG4OwQsAAAAAXEbwAgAAAACXEbwAAAAAwGUELwAAAABwGcELAAAAAFxG8AIAAAAAlxG8AAAAAMBlBC8AAAAAcBnBCwAAAABcRvACAAAAAJdl8nUBboiPj5eZaefOnb4uBQAAAIAPxcXFyc/Pz9dl/D2DV3pYsQAAAAB8z8/PL13kAz8zM18XAQAAAAB/Z9zjBQAAAAAuI3gBAAAAgMsIXgAAAADgMoIXAAAAALiM4AUAAAAALiN4AQAAAIDLCF4AAAAA4DKCFwAAAAC4jOAFAAAAAC4jeAEAAACAywheAAAAAOAyghcAAAAAuIzgBQAAAAAuI3gB+NszM1+XAAAA/uEIXkh30ttJcnqrR0qfNaVnUVFRvi4h3WDb+evibwfgethHpB231iXBCzfl7Nmzafp+b731llasWCFJ8vPzSxc7j7CwMEmX60lKSvJxNZfd7ppiYmK0evXqdPP5b8by5cvVu3dvxcTE+LoUn0tISJCfn5/OnTunrVu3+vR79lfYptLDfigxMVFHjx6VdPl7j1uXHv6uuLqU+wX+TqmzcuVKbdu2zddl/G34+fkpJiZG58+fT9P3JXjdoqvtGP7uO4vOnTtr4MCBOnfuXJq8X/v27fXee+9p5cqV+uabbyT5Pny9/vrreuGFF5x6MmTIoNjYWJ/V46uaJkyYoF9++UUZMvy1dhXJ287y5cs1depUPfXUUzp79qzi4+N9XJlvZcqUSZGRkapbt662b9/u0xP55G0qrQ9qtyo9BR0z08KFCzVmzBhJUnR0tD799FOdPn3ap3UlS0xMlCTFxcUpLi7Ox9X8b7/88ouSkpJ8fny5mvRSz6FDh9L8wuqNSkhIcPYLH374obZs2eKTOm6EL9fT1SxcuFB9+/ZVtmzZfF2KI72to9RISEhQbGysOnbsqOXLl6fpe/+1zqbSmeQduCQdOXJEu3bt0vHjx3XhwgUfV+aeDh066MKFC9q3b59efvllRUdH39L7tW/fXjly5NDWrVuVNWtWLVq0SOvXr5fku/D19ttva9myZcqQIYNCQkL022+/6dChQ3r11VfTLGz+VWrq37+/evbsKUnaunWrEhISXFtWWvLz89MXX3yh999/X++8846OHDmi1157Ld2c3NxOcXFx+vTTTyVdPnFv166dihQpos6dO/u4MmnOnDl65pln0s12ld6Cjp+fn0qUKKEtW7YoNDRUjRo10ksvvaTFixenixOajBkzKi4uTgMGDNDevXsVERHh8wtU1zJgwAANGzZMu3btUlxcnPz8/NLFhZj0FAbXrVuntm3bau3atV7b1+34fiYkJChTpkySpLFjx+qNN97QQw895Ppyb4Yv19PVLFu2TEOHDtXMmTNVsmRJr3NQX21T6W0d3agvv/xS0uWLlFmzZlWOHDm0b98+SWnXS4PgdZOSkpKcKzPvvPOOevToofbt26tBgwZ6+eWXtWnTJh9XmPY6dOigzJkz65NPPtGKFSu0a9cuvfzyyzd94t+lSxdlyZJF7733nnLkyKHx48crKipKH330kc/CV0hIiD755BP93//9nzp27Kj69etrw4YN6tatmypWrKi8efPe9i5SvqrJzJyrZ5988olee+01LV++3LnKnR4dOnRIr7zyisaNG6f33ntPY8eOVaFChXThwgVVr15dWbJkUXx8vPMZ3N62fN2dzsz0wQcfaMGCBYqLi1P9+vUVGRmpvHnzau/evT6vsVmzZnr33XeVKVOmdHHCnt6CTkJCgkqXLq2qVauqZ8+eql27tubOnauFCxdq0aJFioiIuO01SZdbuvbu3atq1aopMDBQJ0+e1BtvvKH69evrwIEDPqnpet59912tX79eu3fv1rvvvquoqCjt3btX77zzzi1fPLwV6SkMbt68We+9957OnDmjGTNmOOcwEyZM0J49e1xd9rJlyzRv3jxJ0sSJEzVz5ky98soruvPOO11d7s3w5Xq6mvnz52vw4MFO4Dp27Jjmzp2rRYsWSfLNBez0to5u1Jo1azRw4EDNmjXLmZYjRw7nGJlWPSAIXjcpOXSNHj1aCxYsUFBQkObOnavBgwfr3LlzeuWVV/TVV1/5uMq0061bN0VGRmrGjBmSpJw5c2rcuHFavXq1RowYkeqDV9euXfXdd9/p8ccfd6adPHlSv/32m37//XctWrTotnc7DAkJ0fz581WgQAG1b99exYoVU0REhFasWKF69eqpSpUqki7/7W/XjsyXNaXcyTRo0EAej0efffaZli1blm6vWhUuXFhffPGFFixYoJCQEO3cuVOfffaZmjVrpixZsmjWrFnq2rWr+vbtq7i4ONfv+0reT8yfP18HDx50dVlX4+fnpyZNmujw4cMqXbq0qlevrnXr1ilXrlx66aWXnBp9Fb7uuOMO3X///dqxY4fq16/vdPHzlfQQdBISEhQeHq4tW7Y4LQA//vijunTpoiFDhqh8+fLKlCmTZsyYofnz5+vUqVNe89+OfVPGjBn1f//3fzp37pzOnz+vSZMm6bffftNdd92lDBkypIuWpGQhISGaO3eu/vOf/+iVV15R4cKF9dVXX6l37966++67lTNnTp+0CqSnMLh582aNHj1aJ0+eVN++fdWgQQOdO3dOL774ojZv3qxSpUq5tuz4+Hh99tlnOnDggCZPnqwFCxaoadOmWr16tX777TdJSjcX+3y5nv4sKSlJX3/9tYYNG6b3339fHTp00NKlS/XGG284F44+/PBDSbc3fKWndZRapUqV0gsvvKDFixdr2rRpkqTMmTMrY8aMkghe6cLGjRv14YcfqmvXrmrYsKFKlCihli1bqlevXipRooTGjBmjjRs3+rrMW/bMM89o3bp1euihh5yrFfv27dOrr76qXr16adu2bRo0aNANt3y1b99eFy9eVK9evbR+/XotXLhQv/76qzp06KDg4GAtW7ZMSUlJmjNnjr799ltJ7u843n77bSfgPPPMM7rrrrsUGhqqzZs3y9/fX/fdd59at26tpUuXOvW4Lb3UlJCQoFy5cmnYsGG66667tGTJknTb8vXll1/qzjvv1MMPP6x77rlHCxYsUPbs2VWsWDE1aNBABw4cUJUqVdS6dWtduHBBAwcOdD0QHTt2TG+88YZ++uknV5fzZydPnpQk3XvvvWrYsKFat26tUaNGSbp85dHMNHjwYEny+T18RYsW1Z133qmuXbvq+PHjt3XZ6S3oHDlyRCNHjtS0adMUEhKigIAAnTlzRg8++KCky/fYFitWTK+++qomT56s/fv3S7rcLTIiIsLVfVPyd/7ChQt66623NGbMGBUrVkx169bVq6++6tSVkJDg825z0n8vXBUsWFCtWrVS0aJFlSFDBi1evFhNmzbV448/7gw4c7t7VqSXMJh8ohwREaHGjRurSpUquv/++7Vu3TpdunRJQ4cO1cWLF11bfubMmdW/f3998sknWrx4sVatWqXRo0fLzDRw4EBJl4O+r7cnX6+nP8uQIYMee+wxTZs2TVWqVNHDDz+s3bt3K1++fKpXr57q1q2rQ4cOOa03t2MbT2/r6Ea9/fbbioqK0n333af69eurRYsWWrp0qRYuXKicOXM6x4U/r7/kx6m9cEnwugX58+dXixYtFBIS4tW6Vb58eT3zzDN64IEHNG/ePJ/dF5QWOnTooOzZs2vTpk06e/asPvjgAy1btkw9evRQmzZt1KNHD3388ccKDQ3V2LFj/+eVug4dOuiOO+5w7u3w9/fX0qVL1aZNG3Xs2FFPP/20pMv93vfs2aMFCxZ4tXy5YcyYMZo7d64KFSqkDh066K677tLXX3+trVu3qnz58qpUqZJzj8fo0aOdGy3d3In5qqarhalMmTIpKSlJOXPm1Kuvvqq7775by5Yt06effpquWr5WrlypkJAQ9e/fXwUKFNDevXt19OhRnTlzRhMnTlSfPn106NAhde3aVQ899JBatmwpj8ejBx54IE3r+PNO+N///rf69++vjz76SEeOHEnTZV3L9OnT9eSTT+rYsWOSpDJlymjFihV68cUXNWXKFEnSSy+9pIsXLzqBMPlv74u/aY4cOfThhx/qX//6l5599tnbGr7SW9ApUqSIpk+frr59++qdd95RxYoV9dFHH2natGl64okndMcdd2jSpElaunSpAgICVLVqVSUkJOjZZ591grQbkpKSlDFjRl28eFHTpk1TzZo1ValSJe3du1dly5bV2LFj9d1332nSpEn68ccfFR4e7szri5PmlL0FnnnmGd1999364osvtHXrVvn7+yt79uwaPHiw1qxZ44Sv21lXegiDW7Zs0ahRoxQREaGmTZuqTp062r17t7744gtlyJBBNWrU0Pvvv6+QkBCdOHEiTZf99ddfO9+l+++/X9WqVdPrr7/udG+fMWOGzEwTJ06U5NuBbny5nv5s1apVOnv2rC5duqTnn39es2fP1tatW7Vy5UqVLFlSlSpVUrZs2RQRESGPx6MDBw7oo48+kuTuOkxP6yg1fv31Vy1btkxff/21JOnOO+9Uw4YN1apVK82dO1eLFy9W/vz5JXkfG7/55hu98847klJ/4ZLgdYOutgN86KGH1LVrVwUEBOjFF1/UunXrnOfKli2rBg0aaNOmTX/Z3xBq3769cw9Wnjx59N577+m3337TK6+8oscff1zt27dXYmKiunfvrtq1a+u7777TwIEDFRkZedX3CwkJ0Y8//qipU6dKutzNqFy5cvrll1909913684775SZ6amnnlK5cuW0bt06ZciQQYsWLXJavtLasmXLNHfuXOXNm1eBgYG65557nIBTvXp1FS1aVIcPH9Z3332nUqVKqUmTJoqOjtbSpUudndgff/zxt6gpMTHRaVJfvXq1063w4sWLzo4lOXzdcccd+vzzz312j8mfLV26VNOnT9eYMWP0+OOPa9u2bXruued0/vx55cmTR1WqVFFYWJjKlCmjsLAwtW/fXi1atHAGDknLE5zkdZU89L8k1axZUw8++KBzouF2a2GXLl1Uu3Ztde3aVceOHVO9evX0wAMP6N///rdmz56tfv36afPmzTp27JhTU8aMGRUREeGTQVQSExN1xx136L333tO9996rjh073rbwlR6DTmJionr06KFGjRpp5MiRqlSpkrJkyaJTp07J399fnTp1UrZs2TR58mRJ0vPPPy8zc04E3JDchbBq1aqaOnWq9u3bp6+++krBwcEaMWKEjhw5oixZsmjTpk0aM2aMChYsqCVLlrjeCnc1I0aM0GeffaZ///vfXheutmzZovLly6ty5cq6dOmSfvrpJ82ePdvr2O1mt9v0FAbXrFmj8ePH69y5c2rSpIlq166tPXv2aPXq1cqSJYueeOIJ5c2bV/v379eqVas0d+7cax7bb8b8+fPVqVMnnThxQrlz51a5cuX04osvKjAwUKNGjdKFCxfUtm1bnTt3ThEREV77pNvZFdPX6yml06dPa9euXapRo4aeeOIJZciQQY0aNVKJEiWUPXt2HTt2TDlz5tTBgwe1e/duZcqUSWXKlNGGDRu0evVq533SOtCnp3WUWgULFtR9992nH374wZl25513ql69emrVqpWyZcvmtNJlzpxZSUlJio+P18WLF/X+++9rzZo1qV4mwesGJe8AFy9e7HVCVbBgQT333HOqX7+++vfv77UDr1atmswsXaX7G7Vp0yYdO3ZMJUuWdKadPXtWERERyp8/vy5cuKCtW7eqSZMmKlKkiN59910tX75cu3btcu4d+bOGDRvqwQcfdEZTO3LkiAYPHqwuXbqodevWWrx4sR599FF5PB6NHj1amTJl0muvvaaYmBgtXLjQlftxnnrqKXXv3l1Zs2ZVfHy8vvzyS6dVKX/+/Jo7d64++ugj3XvvvWrTpo2KFy+ulStX6osvvlB8fLxeeuklry/sX7mm5NAVHByskJAQLViwQEOGDFFwcLC2b98u6fIJYc6cOTV69Gi9/PLLuueee9Lyo9+UAwcOaOHCherfv79iY2MVFhamu+66S02aNNGAAQN06dIlzZkzRx06dFDXrl310ksvqXnz5uratask79FJb0XKMLVo0SL17t1bAwcO1LFjx3TfffepdOnSeuuttyT9d127IXkQiIkTJ+qhhx5SUFCQTp06pUyZMilPnjxatmyZ8uXLp19//VW7du3S22+/rTfeeEODBw9WmzZtNHToUK/9WFpKPuCfOnVKR44ccVoAM2bMqISEBK/w1bBhwzS/qHEt6S3orFy5UhkyZNAjjzwi6fI9sffcc49GjhypSZMm6cyZM5o0aZLz3JkzZ/TJJ58oc+bMroTm7du3a+PGjTpw4IC6deumFStWaPr06apcubIef/xxLV26VOvXr9f999+vV155RbNnz9bHH3+shQsXKkeOHIqJibltw81/8803mjNnjpKSktS/f3/dddddWrdunbZu3aoaNWqoVKlSOnjwoDZs2KBHH31Ud999txISEjRnzhxJ7nW7TU9hMDo6WhMnTtT27dvVunVrPfnkk9q9e7dWr16tvHnz6oknnlCmTJn0xRdfKE+ePCpXrpyyZcumdevWOb8TdTOD4aQ84X/vvfdUsWJFdezYUceOHVOtWrWUP39+9evXT19//bWGDBmiVatWafny5dq3b5/T3WvZsmXOb366zVfr6WqSkpJ09913q02bNsqcObMaNGigt99+W0899ZS++eYbde7cWWXLltXSpUv1f//3f8qdO7d+/vlnBQQEqEGDBipQoIB++eUXxcfHp2mgT0/rKLWSkpKUJUsWdezYUZ9//rk+//xz57m7775bNWvWdC7+T58+XdLl/UPmzJn1n//8R35+fjd1EdXPfN1x9i/k6NGjGjRokKKjozV69GgVL17cee7IkSN6//33tXLlSo0bN061a9fW5s2bNXLkSL355psqUqSIDytPvQsXLujrr7/WkiVLVKZMGTVo0EDdu3fXc889pxYtWqh9+/bau3evSpcu7Qy4IV0+CW7YsKEmT57sNXBGst9//13PPPOM7rjjDl24cEGdO3dWy5YtdebMGTVu3FgZM2ZUz5491bJlS2ee2bNna+7cufrggw90//33p9lnTNnCExoaqgMHDuirr76Sv7+/KleurJ9//lkff/yxsmfPrtq1a6tUqVKaP3++HnjgAb366qsaPXq0oqOjnaGn00JsbKyyZs3qs5rWrl2rKVOm6MMPP1SuXLn0+++/q2PHjipUqJDee+89Sd7rLT04f/68YmJi9NVXX2n69Ol65plnVKlSJRUqVEhvvvmm5syZo7x58yp//vxKSEhQ48aNFRQUJMl7dNJbYWbOwezAgQMyM8XExGjs2LHKkSOHChYsqF69emn48OGqWrWqmjRpcsvLvJqEhAQtWLBAe/fu1euvvy7pckhI3neVL19eWbJkcU6Cp02bpilTpuixxx7TXXfdJY/HoyJFiqhq1aqu1Cf9dxuLjIzUHXfcoQceeMAJNMlDSkdHR2vu3LnO38ltixcv1pQpU9SjRw81a9ZMXbt2lZmpadOmGjx4sAoXLuwclLt27aqIiAivoJN8Ungr4uLilCVLFklSZGSkPv30U23btk07d+6Ux+PRe++9pzZt2ighIUHnz59Xy5YttX37dh0/flzz5s1T1qxZ06yWZMnb9YsvvqjIyEj95z//0b///W8FBgZq2rRp2r9/vyIiIlSmTBk9/PDDmjp1qvLnz68ffvhBhQoV0uLFiyVJ48aNU9myZRUQEJBmtV3PwoULNXToUI0YMUK//vqrtm3bJn9/fxUoUEDvvvuu/vWvf+n//u//1KJFC/3+++/6/PPPlTdvXo0aNUq9evVSu3bt9Oijj6ZZPd98842CgoJ0//33a+zYsUpKStI333yjLVu2qEaNGnrwwQd16tQpffnll8qXL58kqX79+jpz5ozatWuXZnWkdOTIEXXs2FElSpTQo48+qi+++EKZM2fWk08+qU8++UTnz59Xrly59PTTT6tw4cJau3atNm7cqDfeeEO7d+/W1q1bNWLEiFQfC8xMu3btcgZZ6NWrlw4fPqwxY8Zo2LBhevPNN5UzZ06tWLFCYWFhWrJkif71r3/pgQce0OHDh5UlSxbde++9mjx58m0Z9dBX6+lqYmJi1K5dO3k8Hj322GOqVauWRowYoUWLFmnbtm3KmjWrXnvtNV24cEF169bV+PHjVb9+fd1111366KOPZGaqVauWBg0alKYXGNLTOroZBw4cUIMGDZQlSxYNGjRIrVu3liSFh4erf//+CggI0BdffKEWLVro2Wef1cWLF9WmTRvdeeed+uCDD1K9PFq8riFlHk2+2lSgQAF1795d//73vzVkyBDt3r3beU3Klq/Bgwdr9erVmjBhgnMi81eTI0cO1alTR82aNdOWLVv01FNP6ZlnnlGLFi0kSWfOnFGWLFl05513avfu3UpISHBOCAoWLHjVq65JSUm655579OGHHypnzpyKjY11AlanTp1Uvnx5tWvXTl999ZVmzpwp6b8/qFi6dOk0DV3S5avsyaNvFSlSRMuXL1elSpVUokQJ/frrr9q4caP8/f1VpkwZ7dq1S++8844eeOABDR8+XKNHj1Z8fLwTcG71+kXyABlZs2bVpUuXfFZT8sABOXLkkCTdc889evfdd/Xdd985P2aZnkKXJOXJk0f33nuvnnjiCX3++ed65plntHv3bm3ZskWHDx9Wly5d9PXXX+vIkSOKjIxU+/btnXnT4uCTmJjohK4+ffqofv36evvtt3XXXXdp9uzZ6tChgy5evKhWrVpp3759Wr9+vWtdDTNlyuTcN5l8Y/o777yjBx98UCNHjnRakDJlyqQsWbLo3//+t4oWLap33nlHr7/+utq2beuELje6XO3du1evvfaaOnXqpIkTJ+r555/Xrl271KlTJ6cu6XKX1pTh2A0pW2Dq1q2rdu3aad26dapVq5YyZMig999/X3PmzJHH41FsbKxmzJih4OBgRUREaN68eWkauiZMmKDevXsrKSlJSUlJyp07t55++mlVrFhRd999t8qXL6/27dvr7rvv1oIFC9S7d2+9/fbb2rVrlxYvXqysWbMqLi4uTUOX9N+eHu3atdOWLVt0+vRpNWnSRN98840OHjyozz//XMWLF9epU6cUGhqq+fPnq0SJEsqaNavT8jpjxgzNnj1bhQsXTtParqdFixaaM2eOTp06pW3btqlcuXKqWLGiMmXKpISEBP3+++8qV66czp49q4ULF+ree+/VmDFj9MYbbyhfvnxpGrqky12Nhw8fruPHj+vQoUNOC1y5cuWUN29ejRgxQp9++qny58+vNm3aqE6dOlq4cKF++uknxcbGKigoKM272xcsWFCffPKJateurdDQUGXJkkX16tVTnjx5lClTJh09elT33nuv7rvvPq1Zs0abN2/WhAkTdO7cOS1atEgdOnS4qWNBdHS03n//fQUHB0uSJk+erAIFCqh///4aPny47r//fuXOnVutWrXS6NGj1bRpU+XOnVsdOnTQSy+9pPnz52vKlCm3bah5X62nq5k/f75+/vlnjRo1SlOnTlXdunWd+1E3b96so0ePqlWrVoqKitKnn36qli1b6vz586pbt65Gjx6thQsXKigoKE1DV1JSUrpaR//L1Y69Dz74oCpXrqwqVapo1qxZzoAk27ZtU2RkpFq2bKk2bdpo3rx5GjZsmAIDA3XXXXc5oYvBNdJA8olUch/UlEN1V6tWTe3atdPdd9+toUOHXjV8PfHEE+rdu7dy5MihsWPHSko/v0r/v6TsO53cqtK6dWuVLVvWCQSNGzdW2bJlFRoaqlOnTmnq1KkKCwtTpkyZnJHJnnzySUmXR3784osvJP132Op77rlHb7zxhrJkyaIOHTqoSZMmKlGihCZPnqx27dqpePHi2rBhg2bMmKFMmTKpbdu2GjdunKS0WY8pf1wwU6ZMioiIUJcuXdS2bVtVqVJF48eP15IlS3T33Xerffv2qlChgk6cOKGkpCSVL19eI0eOVFxcnF577TWnpltpun/mmWc0aNAgDR8+XJKULVs2/f77767XdLUd0J133qkMGTI49/1Il+/FK1q0qPLkyXPTnzGtJd9blnJ7uOuuu5QzZ05Jl7tqnT59WuPGjdPTTz+tNm3aqHv37ipatKhat26dZr8lkjzggCTt3r1befPm1YwZM7Rnzx6NGTNGBw4cUNWqVTVy5Ei9+OKLevTRR9WgQYM0PcgkX+RITExUfHy8ihcvroULF2r9+vUaMGCAJOnNN9/UHXfcoe7du+vYsWPOgTchIUFxcXG6dOnSFV3B3OhydebMGf373/9WnTp1VLp0aQUEBGj06NE6duzYNX/70I060lPQSf6dtWeffVYZMmRwjjc5c+ZUs2bNVK9ePc2ZM0f58+d3uhcmtwJkzJjRGfY4ubXMDXfffbf+9a9/KSgoSKGhofr222/VvXt3TZ06VQ0bNpS/v7/uuece5zceN2zYoBIlSqhChQqaO3euFixYII/H41p9yczM2SfkzJlToaGhqlq1qv7zn//ojz/+0GeffabatWurdOnSmjp1qmbMmOFclBg7dqzXhau0CvzJ9aS3MChJ//rXv7Rx40ZlzpxZtWrVUo4cObRy5UolJSWpTZs2+uGHH/Tuu+86J8qRkZGaPHmyRowY4dXj539JuS5z5cqlLl266Mcff3QuDr399tv6z3/+o379+jkDAiVfFD179qyqVKmigIAAPfnkk7rrrruUK1euNFwL/9vtWk//y7PPPqvatWvro48+UtasWXXPPfeoe/fuyps3r3r37q3AwEBNmDBBQUFBqlmzpooWLaq9e/cqZ86cKl++vPLmzau77rrrluvYtm2bcyE2ef+cXtbR9SQfr8+ePauNGzd6nT9cuHBB+fLlU79+/TRnzhxNmTJFuXPnVt26dXXPPfcoICBAHTp00DfffKNChQo5Pb1uptcMwetP4uPjlTFjRp0/f16PPPKIPvnkE0neQ3FWqVLFuTH2auHrmWee0fjx473+ML4ckedGrVixQmPHjvUaeS179ux67LHH1Lp1a61fv15lypTRf/7zH40ePVrZs2d3RrGZNm2awsLCVLhwYTVv3lzS5aszQUFBWrx4sVauXCnpv1/Se+65Rx988IHi4+N17Ngx52B3xx13qEOHDnr44YcVFhbmdT/drQYc6fKJ3/Tp053fB/Hz89Ndd92l6dOnKzAwUFWqVFGNGjV07NgxlSlTRidPntTKlStVvnx5PfXUU5o8ebLi4uKcbly3WlNgYKAuXbqkCRMmaOPGjRo5cqSky+tn0qRJrtaUfPL/5ptveo1+FxERobfffltbt25VZGSk89/MmTPf9OdMS6GhoerWrZsOHjzo9TmTD+5JSUk6deqUHnroIcXExKhHjx4KCAhQ165dNWvWLF24cCFN7hFIucN97bXX1KZNGy1dulT58+fX+++/r19++UUhISFOyKtZs6ZeeOEF1alTJ80uxKTsmtezZ0999dVXMjN5PB7NnDlTGzZscMLXY489psjISAUFBTl/782bN6tEiRLKli2bqyfuyc6cOaOTJ08qe/bski5//x544AHFxsa6/ptqydJT0Pnkk080ceJELVy4UJUrV3bCb/LxJkeOHGrevLlGjRqlCRMmSJKCgoJ09uxZLVmyRN26dXN+NsBN99xzjx588EEtW7ZMCxcuVGRkpAoWLKjs2bPrxx9/1FtvvaVvvvlGGTNm1Lx58/TVV1+pcOHCKlu2rGbNmuX6iVXyxTQ/Pz/5+fnp/PnzeuGFF9SoUSPVqVNHr7/+uqZMmaL/+7//U/369dWqVSuZmY4ePap27dpp9OjRV1y4utXAv3LlSp09e9brPhBfhMHkC6ZX8/bbb+vAgQMaNmyY1q9fr8GDB+v48eNq2rSpnnrqKVWsWFE7d+5U9erVdfbsWU2cOFEjRoxQ0aJFb3j5KfeThw4dUlxcnEqXLq2PPvrI6+LQxIkTFRcXp169eunYsWPO9ysqKsr5fzcvYKccGvzPF6Hefvtt/frrr66upxupTbr8+28dOnRQhQoVVKxYMacFqWHDhlq9erWyZcumsLAwtWzZUmXLllXu3LmdHixpYf78+WrTpo0+/PBDr/OzkJAQ17elm2Fm2rRpk7NdRUREqE6dOvrmm2/k5+enpKQkxcbGqmHDhqpQoYKqVq2q3r17a+nSpfr99981ZMgQSZcvPrVr105Llixx7u296VsVDFc4d+6cBQQE2CuvvHLFc0lJSc7/f//99xYUFGTNmjWz3bt3X/W9EhMTXaszLS1fvtwqVapkVapUsZdeeslOnz7t9Xx0dLQtXrzYmjZtanPmzDEzs4SEBDMzO3nypD3//PO2du1aMzObOXOmzZw50+rXr28bNmywxo0b25gxY8zMbNu2bXbx4kXnfffs2WMNGjSw8ePHey3vjz/+sM2bN6f559y9e7fVqlXLVq5c6UxbsmSJRUZGOp/HzOz111+3WbNm2bPPPmsvv/yymZkNGTLEhg0b5rwm5bZwM1q2bGmtWrVyHi9atMgCAgLstddec6ZdunQpzWtKuU2uWbPG6tevb3v27HGm79mzxxo2bGgBAQHWoEEDq127tq1YseKmP2daCQ0NtU8//dQaNmxoDRo0sNOnT9uxY8dsxowZzmvi4+Pt5MmTtnbtWjt48KDVr1/fpk6damZp+11M+V5z5861rl272sqVK61Ro0Y2dOhQO3nypB06dMgaNmxo3bp1u+b+IS1ERUVZ3bp17eGHH7Zq1arZ9u3bne1g7969Vr16datataq1bdvWEhMT7cUXX7SGDRvawYMHrVOnTjZy5EjXajMzCw8Pt99++82ptUaNGvbCCy941d+sWTPbuHGjq3WYmX388cdWsmRJO3TokJmZxcbGOs8lr7Pz58/bhg0bnOldu3a1Zs2aWVRUlC1cuNDr+3krPvjgAytbtqxVqlTJPv74Y2d6ym0r5fc5NjbWunXrZs2aNbO4uDgzu7zurvbatJD8fvHx8WZ2eb9w7tw5O3r0qLVv396aN29uzz77rJmZDR061Hr27Gkej8caN25snTt3tunTp9uxY8fStKarOXz4sL3//vt2+vRpZx9+8eJF279/v5ldPp6HhISYx+OxqVOn2vLly61du3b22muv2SuvvGIPP/yw17E+LdZju3btrFy5cjZ16lQ7d+6cmZmdPXvWnnjiCZs5c6bt3LnTypYta7Vr17ahQ4faN998Y6GhoVa9enWrVKmShYeH26hRo2zo0KG3VNf69ettzpw5Fh0dbWZmR44ccbb5xMRE53tpZvbtt99a/fr1rUmTJvbDDz/Yq6++ak2bNrUlS5ZYiRIlrFGjRvbLL7+kavkpj6njxo2zMmXK2Ndff+18lj179tgjjzxigwcPtl27dtnLL79sbdq0sSeffNKOHj1qERERVqdOHef4k9bb+J8lJiba/Pnz7fvvv3cem5nr6+lq/vz9O336tIWHh5vZ5fX6yiuv2IgRI+zChQvWvXt3+/nnn+3tt9+2J5980nr16mVz5syxFStWWKdOnezChQtpsu7mzZtnpUqVsmnTptmzzz5rgwYNsu3bt5vZ5e9hstu1jm5EQkKCrVmzxnr37m2ffPKJVatWzWsfnvzdOHfunLM/jYmJsWXLllmdOnVs1qxZzmuvtW9OLYLX/7dkyRKbM2eOXbp0yQICAuzVV1/1ev7bb7+1kydPmtmV4at79+7WvHlz27Fjx22tOS18/PHH1rlzZ6tVq5aZmb366qv2zDPPmJnZRx995PVlioqKsrffftt69uzpnEgmnwBcuHDBeV29evXM39/f9uzZY8uXL7fGjRtbfHy8vf766/boo4/aN99847w2Pj7ePv30U3vuuefs559/NjPvnbXZre9sp0+fbtu2bXMe16pVyxYsWGBmlw+Qzz77rPM5Ui77jTfesG7dupmZ2fDhw70Ogrd6Et+0aVNr27at17QLFy7Yp59+anXr1rURI0Y401OeHKZlTRs2bLBp06bZuHHjnJ178uePiIiwHTt22NatW+3gwYNm5v5B73qOHz9uDRo0sIYNG9r+/ftt1KhR1qlTJ6tdu7Z5PB578cUXvV4fHR1tlSpVsgkTJjjTEhMTvT7DzX6elOt54cKF1rp1a6tUqZIdPXrUtm/fbk8//bQNHDjQfv/9d/vtt98sICDA2bbTyp49e5z/r1WrlhO+Z82aZTt37vR67eLFiy0gIMArTPTu3dtKlixpoaGhzrS0+Pv++T1+/vlnZ9nJ29jatWutatWq9tRTT9kLL7xgjRs3tu7du9/ysv+X9BR0PvjgA6tSpYpt3rzZvv/+e3v88cftvffeu2pNZpeDRNu2ba1Ro0ZOLcnr81ZruZrk91u3bp0NGzbMa1lmZlOmTLHixYtbcHCw83nWr19vwcHBtmTJkjSt5X85dOiQlS1b1uvi0Lfffuu13zx37pxNmzbNZs6cae3atXMuXI0fPz5NL6aZXb6g1rZtW5s8ebK1atXKpk+f7oSvffv2OfXcjjA4b9488/f3t8TERJs8ebLzXUzehlJKTEy0b7/91iZNmmQjR460Ro0aWXh4uO3fv9+aNWtmBw4cSNWyU27Do0aNslq1allQUJA1b97c67xi//79VrFiRfN4PLZ48WIzM+vbt681adLE1q1bZ61atbptJ+lmZsHBwdaxY0en/p9++smOHz/uPJ/W6+lqvv76axs+fLjXfufpp5+2/v37O9v1pUuX7PDhwxYVFWVPPPGENWnSxF588UWLiYmxFi1a2JNPPmndu3e3n3766ZbrMbu8LZUoUcI2bdpkZpe/Y4GBgTZw4ECvc9/ExMTbso5uxIYNG5wLs3FxcVavXj0rX76883z79u2veeExNjbWli9fbrVq1bLJkyenaV0ELzM7c+aMffzxx1auXDnzeDw2fPhwr+c/++wz83g8XifvKXcq33//vQUGBtqkSZNuW81ppW/fvubv728hISE2depUa9q0qcXExNgbb7xhHo/HOnTo4PX6EydOWNOmTW3cuHHOtJQH6U8//dRq1qxpwcHB1qhRI2vYsKGZXQ4JzZo1s5YtW9rEiRO93vPkyZPWrFkze+edd9L88+3atcvKli1rr7zyiu3evdtiY2NtxIgRduzYMQsKCrKnnnrKqT/5v4mJiRYbG2vh4eEWERFhr7/+eppdEU1MTLTRo0dby5Ytvab//vvvzsEoOXyl3A5jY2MtLi7O9u3blyY1rVixwpo2bWoNGjRwTkKTQ5cvA9a1JCUlWYcOHZzW1uXLl1upUqVs/fr1ZmZWvXp1GzFihC1cuNCWLFliMTEx1/y+3oqUwXzUqFE2btw4W7lypbVu3doGDRpkERERtm3bNgsMDLTevXvbyZMnLSYmJk2WnWzChAlWv35969Kliz322GNe28mfP+fJkyft0qVLduDAAYuNjfU6gU5el2ZpE0L//F6xsbG2du1aCw4OtsjISOf5hIQEO3LkiI0ZM8amTJniVYdbPQTSU9CZPn26lS1b1jlZuXDhgq1YscLq1q3rtM7+uaaIiAgLCQm56gWitJSUlOR8ts2bN1uZMmW8ajK7fMK3cOFC++WXX6xdu3bWtWtXe+KJJ2z37t32wgsv2FtvvXVF/WktJCTE6Q0QGxtrdevWte+++87MzAIDA61Zs2ZXrKOEhAQbM2aM9e3b1xITE9P8YlrysgMDA53Hb7zxhrVs2dIrfCVzMwym/CxdunSxWrVqWaVKley5556zp59+2r777rurhi8zs02bNlnTpk1t165d9sMPP1hgYKATGG/U5s2bnV4l48ePtxo1atjZs2fNzJx9dkqTJk2yMWPGeIXlzp072xNPPGERERGpWnZqrV692qumqVOnOi25n3/+uXk8nqteVE+L9XQ1iYmJNmTIEKtXr5699957zn5n5syZVrx4caeFKdl3331njzzyiD366KM2f/5869evn3Xt2tVWr16dZuvuo48+shIlSji9kJK3yeRz35QtXym5tY5uRGJioi1evNgee+wx++677ywgIMC6detmDRs2tE6dOlmXLl2sadOmzutTbnvJLl26ZB999NEVDTG36h8fvJI36pMnT1qlSpVszpw5FhcX5zQtL1u2zEqUKOF0o0u5Q0v5/7fzikxamDVrlr366qv2+OOPO4GrRo0aFhERYaNGjbLnnnvOli9fbp06dXLWRfLn3bBhg1WrVs3rKv727dutUqVKVrlyZTt9+rRNnDjRKlWqZM8//7y9/PLL1qdPH7tw4YINHjzY5s+f78yX/AVesmSJ1axZ044cOZLmn3X9+vXWqFEje+mll5ydf/fu3a1p06bOwTnlQSjl37VPnz720ksvXVFvaqV8z4MHD3q9z549e+zRRx+1Pn36OM9dreXrVmr682vOnj1rb7zxhj3yyCPWrVs3p7703DV24sSJ9sMPP9ipU6esVq1a5vF4bObMmc7zHo/HqlSpYkePHvWaL60+U8r3WbFihbVv3965mrh27Vp79tlnbcCAARYREWGbN2+2pk2berVMpZXExETnavmbb75phw4dsunTp5uZdziYOHGitW7d+org9+fWi5tdPylPbF977TX75JNPnMc7d+60xx57zAYNGuR1keZ63Nr20lPQSUhIsFGjRl3Ruh8bG/s/a0r2579fWvjhhx/st99+c45jmzdvtooVK9rs2bOv+vrkGmJiYqxHjx7m8Xhs586d9v7779vevXvTvL6U9u/fb8WLF7egoCAzu7wOX3/9ddu7d68FBQVZ48aNnfX25/3eDz/8YGfOnLFXX301zbsXtmjRwlq3bn3F9IkTJ1qLFi1s+vTp9scff3g951YYTNmdv2XLlhYQEOAsu1mzZtaiRQv7/vvvr3qyeeDAAdu7d699+eWXqW5tSkpKsujoaOvUqZM9/vjjVr58eatdu7Zz68KfP8+hQ4dsz549FhcX52xTKbfv5F5GbomNjbU+ffp4haslS5bY3LlzbcWKFVayZEnn3O/P28ivv/560+vpWn788Uc7ePCgxcTE2KRJk6xdu3b2zjvvWFxcnCUlJVmXLl2sd+/eXi3v586ds9WrV9vXX39tTz75pNWtW/eW60hpw4YNVrx4cfvhhx+8pidfKL5e+LqVbSkt7N271wICAqxkyZI2ZMgQM7u8vsqWLWvlypVzXvfmm29a//79r7qfv1p39Fv1jw5eyV/wyMhICwgIcK4yDRkyxJo0aWJTp0614sWL25dffmlmlze0WbNmeW30f96RpMfWgqsJCAiwChUq2MqVK+3DDz+0mjVrWq9evaxNmzZOV7aXX37ZaaZNeSA7fvy4NWrUyL7++mvn/T766COrVq2acyWhSZMmtmvXLnviiSfsscces4iICBs8eLDXCVDy+5ldbpn66KOPXPu833zzjTVu3NiGDx9unTt3No/H41wNSvnFWrt2ra1bt85iY2Nt//79adYqMHLkSAsMDLSXX37Z6yrU7t27rXTp0hYcHGxBQUE2fPhwp2vfp59+agEBAV4tGvv27fM6GUptTa+88orT1TM6Otreeusta9u2rU2dOtX5PqSX8PXOO+949cWeMGGCtWrVymrVqmVr1661ffv2WfHixW3BggUWGhpq9evXv+oVvlu9Yvxn3bt3t6eeesrq1atngYGB9sUXX5jZ5aujXbp0sV69ellERISdP38+1cu9npTdQR977DEnlC9ZssQ8Ho8tXbrUee2kSZOsVKlSad7F8c+1mF0+aFWqVOmKk6QuXbqYx+Ox4OBg11po/pf0EnQ++eQTmzlzpi1evNjrPo2UrlWT2+tu37599vTTT1uZMmWsb9++NmvWLKtYseIV++PNmzd7tVymvPerU6dOzn1zt8Pu3bvtscces86dOzvTunbtak2aNHEeX6tFp0ePHmnavTAxMdGCg4OtRYsWXtN///13Z3uaMGHCNcNXWobBbdu2Wd++fa1v377OvW8ej8e2bNliZpcvGJUvX966du1qderUueZ91IsXL7ZmzZo598ndqJTflVatWlnDhg3t5MmTNnLkSBs9erSZ/fd4e/DgQStfvrx98MEHV7zP7dxfREVF2dChQ61s2bK2detWMzNbtWqVFStWzNatW2dm/+0+Z+b9d1m0aNFNraerOXr0qHk8HuvcubOdOnXKLl26ZBMnTrR27drZlClTLCkpyZYsWWIBAQFO6PlzTevWrbP69etbTEzMLR/HU57n/vm73aVLF/P393duOfnuu++c8PXn1sGb3ZZuRcq/0dtvv20ej8c5X+3SpYs1aNDAAgICLCgoyKZNm2Y1a9Z0WuJ++umnq7ZwpuW5/T82eCWvxKioqCtObuPj461Dhw7m8Xick9xff/3VHn74YfN4PDZu3DifnUikhS+++MJq1aplgwcPthYtWli9evXs0qVL1q5dO6tVq5bNmjXLnnvuOStbtqzVq1fvql/gb7/91vn/OXPm2OOPP24HDhywIUOGmL+/v82ZM8eGDx9u7du3t4EDBzp91ocMGWJ16tRxdmhXkxYbeFRUlH333Xe2YsUK50bZLVu2ODd/BwUFWVBQkJ06dcrM/nvAGDhwoNWpU8fOnDnj9X63shNLSEiwrVu32qhRo+zNN990dpp79uyxMmXK2LRp08zs8kAXQUFB1qdPHzty5IhFRUXZihUrrFatWk73nVupKSYmxgYMGGCjR492WkGioqJs/Pjx1rFjR5s8eXK62a5jY2NtyZIlNmjQIBs9erQNGjTIevToYa1bt7bKlSs7O8bvv//eihcvbiVKlLC33nrLLl26ZD/99JP9+OOP9tprr93UFdPkdRAdHW2bNm3yCuaHDx+2Fi1a2OnTpy02NtZ69erldEsxu9xC3q5duzRv6UrePqOioqxmzZrOYDVml/dNixcvtmrVqtlvv/1mU6dOtXLlyjlXFy9dumQJCQleA7Xcirlz5zr7yzFjxpjH47HevXs7z6dcX3379rWKFStecd+Z29JT0Dl9+rRNmjTJ6tevb/Xq1bM1a9Zcc1kpa0rZFdJNSUlJFhERYQcPHrSPP/7YypQpc0V3++HDh9tjjz3mdTKWUkJCwlVbT9yU3Krao0cPGzBggJUsWdJ+/fVXM7uydTr5eHXy5Emv+z5vtdt4crhLec+S2eVgWLJkSeceOLPrh6+0DIOLFy+2zz77zKpVq2aVKlWyF154wQIDA23GjBlWvnx5O3TokC1fvtzKlCnjtETNnDnTq2V62rRpqW65TLnOx4wZ4/SgSX7/4sWL26pVq8zsv6HL7YF9blRsbKwNGjTIKlasaNOmTTOPx2NvvPGG83zyZzt69KhXL4upU6emaQvvmjVrrFy5cjZgwAA7c+aME77atGljM2fOtLi4OGvcuLH17NnTa76UwfBa39HUCA0NtaCgIHvhhRfs+++/99pPderUyZo2bWp9+/a1qlWrOoHlWi1fN7Mt3Yr4+Hg7fPiwXbx40SIiImzTpk3m8XisWrVq1rBhQ6+LM5UrV7bSpUs79/CtXr3aypQp47RyuuUfG7zMLv+Bnn32WQsICHCmpRwkokOHDhYUFGShoaFWtmxZmzp1qp08edJKlixpU6dOTZMN/Hb78MMP7ZFHHrHo6Gh79913rXTp0ta9e3fr3bu39ezZ02bNmmVly5a1IUOGWFxcnLVt29YCAgKcA8yfRzs8dOiQ1atXz44cOWJz5syxRo0a2ahRo6xChQo2ePBgS0pKssDAQKeZ1+zyQTw4ONjCw8Nt7NixtmvXrjT/nFFRUda0aVN7+OGHrV69ehYbG2uvvPKKVapUycwun6x27drVOnXq5NVKcuzYMStRosQVzeppIS4uzunqeOrUKatevbrTXSZZ8pXI5JqOHj1qPXr0sKCgoFT3177aCeSnn35qTZs29XqvqKgoGzlypLVt2/a2XrX+Xy5dumSLFy+2+vXrW+3atZ11l3wfYVhYmC1atMj8/f2tTJky1qFDB2vatKmVK1fOnnzySWvevPlN38R7/vx5q1evnj322GP2ww8/OAe1EydOWJkyZZyW0OQuhWaXT+rOnj3r2jpMeZEoKSnJxowZ43RvPHXqlL3zzjtWuXJle+SRR+zAgQMWGRlpK1eutL59+1rjxo29Bte4FXPmzLHevXtb//79rWLFis7IWSnDS8rWhueee85q1qzpdc+dm9Jj0ElMTHRGzzp58qTXSJx/rik6OtrWrVtnNWrU8Oq+6VZdyTZv3myVKlWyunXrWr9+/Zyb6CdMmGCPPvroFV3Oza7dquSG2NhY++KLL+zHH390tuXDhw+bx+Oxhg0bWmBgoE2ePNnrHpLY2Fh76623rEKFCleEo1u9mDZz5kxr1qyZTZ061eu9d+/ebWXKlLHXX3/dqlevbv3793eemzBhgnPPV3L4OnXqlNd9z2nRnX3cuHFWo0YN58JT+/btrXjx4vbNN9/YmjVrrHLlys6+cdGiRVaqVKlbGhQl5bJHjhxpdevWdVr8v/32W9u6dat9+OGH1qxZM6fVLSQkxJnn6NGjtnfvXuc7cjskD/71ww8/OLUGBgZaiRIlrEWLFta3b18LDQ11vp8JCQm2c+dOK1++vL3//vtpXk/y3/3bb7+1ChUq2MCBA73CV+vWre29996zjz76yD777DOvdf7pp5864SYtLlz//PPPNnXqVOvdu7dz76TZ5fvuUt4X9fLLL1vFihWdLvebNm2y1q1bW//+/W/LiKZ/FhUVZe+9955VrlzZatWqZd27d7eTJ09akyZNrEGDBla6dGlnYLWpU6dajRo1rFatWhYcHGzff/+9lShR4prdq9PSPzJ4JW+Yp0+ftrffftuaN2/u1dyd8spdo0aNzOPxeF0le/zxx83j8dj48eP/Ml0Lky1cuNAOHTpk8+bNs0aNGtn+/futfPnyTvfCHj162KBBg5zXR0VFWd++fW3+/PnWvHlzr6E1k0VHR9uOHTusbNmyFhYWZhMnTrTSpUvbt99+a88//7z16tXL9u7daz/99JOdP3/eVq5caU2aNLF69erZk08+meZf0OS/SXJf6V9//dXatWtn5cuXt7Zt29rcuXMtKSnJfvrpJ+vevbt16dLF2eE3adLEq/tKWta0YMECCwwMdA54ISEhFhAQ4IzGNXnyZPP393ea5JN39HXq1PFq4UitzZs3e3V7CwoKsn79+nm9JioqyrlanF5ERETYwIEDrXHjxtarVy/7+OOPbe7cufbLL7/YypUrrWTJktawYUP7/PPP7emnn7aYmBiLi4uzEydOpPoAHhMTY2+++aaZXV4X7dq1s8mTJ9vAgQOtSZMmtmPHDme7mjJlilWsWNEGDRpk/v7+9sEHH9iPP/5olStXtho1alzznoCblfw+vXv3ttKlS9vBgwft559/tg8//NDr6mty69OPP/5oU6dOterVqzv3WY0ZMybNWnK2bdtmFStWtGrVqjmtaHPmzLHg4GCnq46Zd7ejoKAgK168uNON1m3pIehcrYvirl27rEyZMubxeK642p/yQt5vv/1mzZs3t+HDh7vakpRyII0KFSrYggULLDw83Hr06GG9evWyfv36WbVq1ZxgkTJoTZgwwZ5//vnbdgw8d+6ctWvXzjwejz3xxBN29uxZGzRokFWrVs3MLnfZa9mypY0bN85rX/bjjz9alSpVrnrz/81KTEy0tWvX2tChQ2306NFOD4k9e/ZYqVKlnO3tl19+serVq1twcLBzohwSEmJNmjRx7if/8/veqjVr1pjH47Fly5aZmdnSpUutbNmy1qtXL6tRo4ZVrFjRGehjwYIFVqFCBae79K3+LZPv7T537pwtXbrUnnnmGXv88cctNDTULl26ZEOGDDGPx2MffvihHTx40BYtWmTt2rWzxx9/3B5//HHn4trtMHfuXPN4PFasWDFbs2aNffPNN+bxeJxWuRdeeMGCgoLsyy+/9Pout2jRwsaMGZOm91qmHNjL7PKtEVcLX507d76i98tbb71lHo/HlfuJU95zn/xzACdOnHCmnTx50jwej1donzZtmlWtWvW293JItmXLFtu6dav9+OOPtnLlSjt9+rS99dZbtnHjRps9e7ZVqlTJgoKCrE6dOs7nq1Chgnk8Hps7d+5tqfEfF7xWrFhh/fr1c04YTp8+bfPnz7emTZtecRXjzJkz5u/vb1OmTHGmJV8J2b17923ts5qW/vjjD3v44YftrbfesilTppjH47EhQ4ZY27ZtrW/fvrZ27VqbPHmyRUZG2rBhw6xMmTLWqlUre/bZZ726GKbcSf/0008WFBRkTz75pD3xxBNWp04dq1ixoo0YMcJiYmIsMDDQhg8fbjt27DB/f38bM2aMrV271i5dupQmB+7Nmzd7naCkPLkKCgqypk2b2rlz52z69OnWrl07CwsLc+ZLHpWrVq1aXt3GbvUgmLxjTq5r9+7dFhQUZA0bNnROZD744AMLCAiwTp06Wbly5bxCV7KUIy7dyLpKOe/GjRud4dY//PBDM7t8NWvIkCHOyYkbN+vfjD8PdPL99987v4m1YcMGGzhwoHk8Hlu/fr19//33Vr58eeeKbt26dZ11ejNDxm/YsMGaNm1qO3bssHbt2tnYsWOd5zp37uxcpDC7fIL85ZdfWrNmzWz48OG2detWK1GihK1YscL69OnjNVT5rfjz9rdv3z5r2rSpvfHGGxYVFWU//vijzZ071/bt22chISFWtmxZa9SokU2cONEWLVpkYWFhV3S1vNnv2ubNm71GbX3zzTdt7NixduLECTt79qydP3/eevbs6XXlPmX3FzNzBgBxS3oIOgkJCRYfH+/VNXTRokVmdnlQiFKlStnUqVNtz5499uSTTzo1nTx50hkV8+LFizZ79mznBNVtGzZssEqVKnldVPvpp58sICDASpUqZZ9//rmZXV6/ydvP1KlT7ZFHHrktJ1cp72P59ddf7ciRI3by5Elr3769lSpVyho0aOC0gH3xxRcWGBhoEydOdPYHTZs2tU6dOqVZPVcbZMHs8oWiWrVq2fPPP+/1/EsvvWT+/v5e9xQ3a9bMXnjhBVdC9U8//WQvv/yyvfrqqzZu3DirWLGi/fLLLzZr1iwrVaqUBQQEWHx8vK1atcoqVKjgBI2UI1reiJSvjY+Pt/Pnz1uNGjWsY8eOdvjwYTt48KDt3LnTOdb+/vvvVqVKFStRooTt37/f6tWrZ+3atbPBgwfb119/fVu6o6U8Nh47dswOHz5sp0+fdkJYxYoVnYvsERER1qtXL+vRo4d99dVXZmY2f/58K168+C2PzHe1i2Bnz561rVu3OheM1q9fbxUqVHC6HcbExDjdDpPPSadOnWplypRJ04sKycLCwqxv3772ySefOD/707VrV5s6darFxsbaqVOnrEKFCl6NEidOnLDx48dbqVKlXB8Y5c+u16MiPDzcWefz5s2z4sWLOy2u3377rXk8Hmc/dzv8o4LXvHnzzOPxWEBAgA0ePNgJXxEREU6LTvIV5NOnT1uxYsW8us+0bNnSunbt6ovSb9q1RmFcsWKFeTwe69Spk/Xq1cs8Ho9zs/4XX3xhHo/HDhw4YOPHj7fFixdfMVLc1XzzzTc2bdo0O3z4sFWrVs2aN2/uPBcSEmKPP/64RUVFpXkL14ABA8zj8djatWuv2KE1b97cGjVq5Bwkjhw5Yk899ZRzo29yy9fgwYO9WvpuNXQlH1D/+OMP69u3r3PSvmvXLgsODraGDRs6XdLeeustq1OnzhWh68813EhNKQ+GX3/9tZ08edKOHj1qH3zwgdWpU8f69u1rn332mXXo0MH1bkw36o8//nDqPnv2rI0ZM8ZOnjxpiYmJXvclrVy50ipXrmwhISG2ceNGp6vOvn37vFoKb1bHjh2tePHiXq1IyTp06GBPPvmk1++5TJ061Vq1amUlSpSw77//3pYuXerVOnArUt5n9sMPPzhdoA8dOmQ7duywjRs3Ws2aNW3+/Pn2xBNPWKVKlezw4cM2cuTIq94PaHbzoSs+Pt5mzpxpXbt2de5HXLlypZUvX96eeeYZe+2112zz5s22f/9+K1u27BUHwOT7KJOl5eAt6SnoxMXFWd++fZ0rz8ndnZOHCT9y5IhzZTg+Pt6+/fZbe/LJJ23cuHFON9KDBw9abGysRUREXHU7vBVX+7mI/fv3e40OmvxcSEiIVapUyTp27Gh9+/b16m703nvvWdWqVV39UXAzu+L3HlPq2rWrNW7c2MzMRowYYdWqVXNaS7744gtr0aKFBQUFWaVKldL0YlrK90lISLAPP/zQXnrpJdu2bZvFxMTYoEGDbODAgU4vhpCQEK8LahcvXrQ9e/ZY9erVvbrf34odO3Zc8Z3bsWOHvfLKK1auXDlbtGiRrV271ipVqmSbN2+2sWPH2qOPPmrlypVz/q6pDV3J29KfBxDav3+/tWnTxj777DM7ePCg9e/f36ZPn27Tpk0zf39/Gzt2rHXs2NHWrVtn+/fvv233BW7evNkZ6fHPv1m5fPlyK1asmG3ZssX2799vpUuXdi5CREREWO/eva1NmzbWsmVLK1mypBMkb1bycqOiorx+NH7KlCnWsGFD69y5s3NBY8eOHVaxYkUbMGCAnT592i5evOi0fAUGBtrDDz+cZhc//vzdiIuLs0GDBlnLli2d/dbKlSutZ8+e9vrrr1upUqVs/PjxXvMkJSXZuXPn0uQYmBqzZ8+2atWqXXEOkPyZvvzyS+vYsaNzb/vcuXOtUqVK9uqrr1rJkiXT7GLpjfrHBK958+ZZyZIl7bvvvrO1a9c6V1qST+zOnDljs2fPtsDAQFu4cKFt377dPB6PLV++3Mwuh67nnnvOeb/0MvLb9STvYM6fP++c/KTcuf76668WHx9vgYGBVqNGDWfko4iICHv88cdtw4YNXie+hw4duuIG/atduRkwYIDVrVvXBg8ebCEhIZaYmGjr1q2zqlWrXnGP2K0aN26clSxZ0vz9/a1u3br2+eefe+3MX3vtNedx8n8///xzq1Wr1jWvyNzs3zYuLs527drlrKPo6GirWrWq9erVy+t1KcNX8g4qOUTcSnewlPOOHTvWypcvb7Vq1XJOYKKiomz48OH25ptvWrly5axWrVpeoccXzpw5Yy1btnT6iDds2PCav5kxcuRIa9KkiQ0fPtzr/oCdO3daq1atbqr1NOUJXfLobMkjR86ZM8c5qCUlJVmnTp2scePGzt9qz549Fhoaan379rVp06Y5XW3TSsr7zDZu3Oi1XcfExFhCQoLNmjXLypcv7xxwnn/+eacPe1r+XS9evGiLFy+24OBg++ijjywmJsY6depko0aNsrFjx1q1atVs8ODB9vjjj9uHH35ox44ds8jISJszZ45NnDjRlWGE01vQSUpKsvbt29vQoUPt/Pnz1rFjR6tUqdI1u1cmJCTYhg0bLCAgwJo1a2ZPPvnkVbvIpsWx5sSJEzZq1CinlS9ld6E/j2w3YcIEq1atmkVERNiePXusW7du9vzzz1tYWJjNmjXLqlSp4nroGjZsmHk8HmdbTumZZ56xJ554wmt/16xZM697qdatW2f9+vVL89/pSt5fJH+3fvzxR2vWrJlzcS06OtpGjRplL774ojNA1dV6MaS8r/lWvqc//fSTVatWzblA/OefKRk+fLjVr1/fypUr52yHM2bMsIcfftjq1KnjbG+pqSG5R8K5c+esePHiV/wOZHLL3rvvvmsTJkywhQsXmsfjcfbZlStXvmKbc/MYtGHDBvN4PNa1a1cnfCXXunbtWueibbIPP/zQqlSp4vzdzp07Z2PGjLHnnnvulrf75G0wMjLS6tat69UKf+nSJZs0aZIFBgZasWLF7Pnnn3dG2KtYsaINHDjQOX9q1qyZVahQIc26F6Zc/0OGDLFPP/3UzC6fMw0dOtRatWrlTFu6dKnVqlXL63dXfXk+PGfOHCtevLhXz6CEhASvHg2nT5+2pk2benWJnD9/vrNd3G7/iOD18ccfew2YcOHCBVuwYMEV4ev48eMWEhJiPXv2tM2bN9v69eutZMmSVqlSJevbt6/zfn+F0JV8knb+/HmrWbPmFT+CmWzMmDHWqlUrGzRokPXu3dvWrVtnERERVqFCBVu9erXzuuThQpPDSvKN12be6+Pbb7+1Dh062Lp162zRokXWpk0bW7hwoS1YsMDatm2bpjfPjhs3zjwejzVq1Mh+//1369ixo/P7Vn++8pHyoLdp0yarWrVqmg09njzfW2+9ZQEBAdazZ0/bvn27Va9e3QYMGOC8JuXvKe3atct69uxpDRs2dG5av5Ub1VPW/eWXX9pLL71kS5cutZEjR9pjjz3m/JhlfHy8/fHHHzZv3jyvK8q+9MYbb1jDhg2tYcOGXiNrtWnTxtluT506ZZMnT7Zp06ZZaGio9e/f3zmQDxs2zOtHS2/UhAkT7OOPP3a2371791rTpk1tzpw5Nnv2bHv66aed4XyTDzLNmze35s2bO9vTN998Y23btrVnnnnmlg/KN3KfWUqTJ082j8fjhJo9e/aYv7+/M4pnWkhKSrKwsDDbv3+/JSYm2sKFC+3555+3CRMmWO/evS0iIsLi4+Nt//79NmjQIKtRo4ZVr17dubm5du3a1rNnzzS/4JJcW3oLOmvWrLFOnTrZY489Zm+88Yb16tXLWrRo4bQMXO1HfX/88UcLCAiwWrVqef3+Ulo6ePCgNW3a1JYvX25TpkyxoKAgr3148v4j+UJWynX4/fff2wsvvGB16tS54vcb3ZC8X69Vq5Y1aNDA6/68EydO2DvvvHNFN+5Zs2ZZ27ZtvS5OpBz6Pi2O2cn754iICGvfvr3TwrZp0yZr06aN9e3b13755ReLjo62AQMGWEBAgNMN8VoX1G6lrh07dlitWrWu+luPybZs2WKvv/6602Nl4cKFVqFCBfvkk09swIAB1rRpU4uNjU31ce/cuXMWEBDgNfz91URERFiVKlWcLsgRERFWt27d23abxvfff2+1a9e2YsWKWYsWLaxDhw7OcTi5+1zyCMsJCQmWmJhohw4dsoYNG3q1RsXHx6fJd3Pr1q129uxZp1tzsuTeL8l/hzlz5lhgYKBVrVrVoqKinG6H/6+98w6I6uja+AMqMZYUY6Im5s2rMVkNAbGhiA1UlCKKKBjFhgURBcWIIKIBLBAVFTCKvXdjJybYa2yxB6woKkU6K1IW9vn+4Nv77oImKksxmd8/iZct587OnZkzc85zpk+fzqCgIBoYGGjF6bp16xaTkpKkf8+aNYvffvutRo5kXl4ep02bpuF8qUctVeR6eP369dTX19fILc7Pz+fEiROlHEey6B4mT56ssR4ji8Lf1SOdyot/vOOlit1VOV2qwTMvL++Fzld0dDTd3d2lk5LTp09r7Ly9DU6Xakc+PT2dHTt2LNHZLly4wPv37zMxMZE//vgj16xZw5ycHI4ePZozZ87kpUuX2L179xJH2H379uXq1au5ePFiymQyjYFDPTzuwIEDkrzwL7/8wqtXr9LGxoY+Pj5au8fZs2dLTpdKgcfAwIBBQUEMDg7mli1b+Pz5c41TLdVvd+XKFRoZGWn9ODw5OZlJSUlS3Qj1BzogIKBEDLH6yZfK+XqTEy/1UxuVjK8q/I0sCsXp3Lmzhrqbioo87VL9Hg8ePKCpqalG8VFnZ2cNkROlUslbt25JhSRPnDjBSZMmcfPmzTx37pwkGf6q95Ofn88RI0Zw1KhRPHPmDKdOncrw8HBpsZyXlyctyn19fTXquRXP43j69KlWFE5fJ88sMTGR06ZNk5y9vLw8Ll68mGPHjtWabDxZ5AAuXLiQ7u7uvHHjBgsKCrht2zZOnz5dQ25ZRUhICHv27MkLFy7w5s2bzM/PL1HAWZtUJkensLCQz58/54ABA+jg4CBdt7e355AhQ6R/F++j2dnZXLBgAT09PUuUsdCGTWTRGBESEsIBAwawS5cuUv8qvmA5cOCANC6qOzHe3t7s0qVLmS+YVQIxtra2Uo6Jq6srSU1Hiiz6LdVPntq0aaMhBqCiNGNcXl4e09LSpHkkMzOTZmZmJXbJz58/z++++046+crNzX1pH9QGKqdr9uzZ0rWXfY9qzaMS0lBtqN6/f1/j5PPv2LVrFzds2MDc3FxaWFiUiEw4efKkxnybkJDAtm3bMiAgQLo2c+bMEvXOyoozZ87QzMyM+vr63LBhgxRu+fjx4xI1PIu3Xa9evaRNP22elHbo0IEGBgYaaydVOJ/6s0gW5Z2qb7ZdvnyZMpmMLVu21IoS9KVLl2hqakpHR0fu27ePs2fPZps2baRwevWNYHXna9u2bRrOa0WxevVqGhgYlBB0cnZ21pCMVz3/V69eZcuWLTUcanXKcy30j3a8MjIy6O7uLg00xYvNqTtf3t7e0oLlxIkTNDIykk4JDh48KIVCVXZ++uknOjk5MS4ujp07dy7hzUdGRmrskpOUFI7IIqdk2LBhdHJykq6pBqeNGzeya9eu0s6pg4ODRu2Rlz2EAQEBdHR0lHZWStvBV6xYISlbRUdHc/ny5XRxceHRo0fZqVMnqTzAiBEjXpj3tWrVKtrY2FAul2vtYVO1UX5+Pm1tbTXCUlU14Vq0aFEiFv/mzZt0d3enjY3NGy1q1O1fsGABp0yZwl9++YWTJ09m69atpXDSOXPmlDjFrAxkZmayT58+dHJyoq+vL//44w8OHz5car/p06dL4b7q5OXlsUePHlLO0eugGgcKCgoYGBjIbt268ZtvvuGVK1d4584dKRyhsLCQaWlptLGxkSZAVR6Hs7NzmZzi/F2emaWlpTQxqpe+yMzMpIWFBcPDw0ttQ/GFxoULF+ju7k4/Pz/euHGDCoWCu3bt4ujRo0vYGRYWVqJEQllNaBXt6CgUCmkBlJqayl27dvHy5cs8ffo0HRwcpB3p9PR02tvba4iTFCc5OVnrTk1GRgaXLFkiCSKpHK+LFy/Sy8uLY8aMoZ+f3wuL6KqP5SohjbIWPwgMDJSUSmNiYrhixQq2adOG69evp4eHB3ft2sXs7OwXbiwcP36cRkZGr5SL/KoolUqGhITQ1NSUkydP5rlz59ilSxeNkEZ11J0vdbEDbfd/ldOlylMmNYVPVN+p/m+VmptKvfB17UpJSeHmzZvZsmXLEpuuJLlnzx7KZDKN+e3PP//UOHVITEzkqFGjSuQTlgVRUVHs2bOnJA9+8+ZNWlhYcMyYMdy0aRMHDx5Mki8tN2JhYfHSKKHXRXWfz58/p7W1NWUyGf39/UmS7u7utLS05PTp07lq1aq/XJOsXbuWzZs312rY9t27d3nhwgX27NmTHTt2lE6yfv31V7q6umpsTKmcLycnJ27dulVa81TE5u2ZM2eor6+v4UTl5+fT1dVVEtJR5WGqyMzMpJWVFSMiIl74vJQn/0jHa/ny5Tx8+DCTkpJeGr71MudL5cl7e3uzZ8+e5a7MUhry8/N55coVjh8/nkZGRhrhkWTRYNSqVSvu3LmzxHtV7bFw4UI6OjryypUrfPz4MbOysqTOGxgYSAcHB2knb86cOZTJZH9ZX+rYsWPs27cvV6xYoZWaL7t37yZJafGr2iHduXMnQ0NDpeJ+9vb27Nu3L3///XcGBQVpiCJ07txZo7CltkhLS2O3bt3Yvn17Tp06lXfu3OGoUaPYq1cvkuTixYvZokWLEnWerl69SkdHRw11oFdBfVCZOnUqZTIZmzVrxrNnzzI3N5cTJkxgy5YtGRsbS4VCwYCAAK2Gob0JWVlZkvOXmJjI5cuXS/1x7ty5bN26NSdMmEDyf3keqnZR3zi5fv06XV1dpYnzdQdO1ev9/f2pr6/P7777jidOnCixefDw4UO2b9+ed+7cYW5uLiMjI2loaCiFBGqD180z69Wrl7RZov5sqodbaqMW0IkTJ6RF7uXLlzlhwgROnTqVf/75J9PS0ujp6cnBgwdrhIKNGjVKo5iyNqlMjo5SqeTRo0fZrl07zp49m5GRkQwICODBgwcZHx/PNm3a0NLSkgEBAYyJieHOnTvp6+vLx48f/+0OurYWAbdu3aKPjw/Hjh1LT09PGhkZsVevXgwLC+PKlSt56NAhNm/eXFK1e9F3R0RElEtO188//0yZTMbu3bszMTGRS5YsobOzM1evXk1ra2va2dlRLpdz1KhR3LVrl8bmCVmUt2RnZ6exGaEtLl++zM2bN1Mmk2lEbXh7e5fYeFA5X15eXmWyWXv9+nVaWFi81PkrjlKpZEJCAnv16sU9e/ZI116nj6nGp8TERBobG0sy+KoojX379vGbb76R8qRedvIWHh7Otm3bvvBUUpskJiayTZs2klLdzZs3aWtry/Xr13PkyJE0NTXlvn37GBUVxUGDBmnYq1QqGRcXRzMzMx49elQr9sTHxzMxMZH29vaSs5yYmEhPT09prktPT//L8SgsLIwGBgZayyFWv+ewsDA2b95c+l12797Npk2bSlFK6hsdKudr8ODBXL9+fbkXTVdFlty9e1cj1FKhUNDV1VUjOm3MmDF0cnKSlBkLCgq4efNmnj9/vlxtfhG6+Idx79497N69G2PHjkVAQACeP3/+wtfp6OiAJPT09NC7d2/06tUL8fHx8Pf3R35+PhwdHdGjRw/o6emV8x28GQqFAtWqVUOjRo1w8eJFfPTRR1AqlcjMzAQAREZGwsvLC05OTkhKSsLZs2ehUCik9+vo6ODevXsoKChA27ZtUadOHSxduhQDBgzAihUrEBAQgNOnT2Px4sV47733sG/fPqxfvx4RERHIz8/H3LlzMWXKFMyYMQO//vqr9LmtWrWCn58f+vTpg2rVqpXqHidOnIgpU6Zg+vTpmD17NvT09HD79m2EhIQgODgY586dw8qVK6Gnp4enT5/iww8/RHh4OGQyGRo0aAAAkMvlMDU1xbhx4wAAJN/IFpK4ePEiHj9+jPv37wMALCwsYGhoiHXr1qF69epwdnbGnTt3sHfvXgDA2LFjYWNjg8GDByMhIUH6LENDQ8yZMweenp6v/P2FhYWoUqUKAGDPnj2Qy+XYtm0b+vbti6lTp+Lp06eYOXMmzMzM0LNnTzx69Ah+fn4wMTF543suLfn5+di1axc2bNiAP/74Ax4eHvjoo4/Qt29fAMD9+/ehq6uLTz/9FN7e3qhduzaGDh0KHR0dAIBSqQRQ1Fe//fZbzJw5E1988YV07WWo3qeOjo4ODh8+jGPHjmHLli346quvsHr1akRFRQEA0tLSkJycjNOnT6Nx48aoW7cuqlWrho8//hjjx4/HhAkTALx5/1EREhKCHTt2aNxbeno6zp8/DwDYvXs3oqKiMHjwYCxZskTq3yNHjkRBQYHUB4YPH44VK1ZINv1Ve7yMgoIC6OoWTQkLFizAqFGjEBgYiPz8fBgZGWH48OHIzs7Gjh07sHfvXmRkZEBfXx83b97EsmXLkJubC4VCgSZNmmilbdQhiVOnTmHkyJGYM2cOzp07h+vXryMpKQmNGjVCbGwsPD09ERgYiKSkJAwcOBBPnz7FkydPXvj7161bF19++eUb26mjo4MuXbogMDAQOTk5uHDhAvT09HDnzh38+eef6NixI5ycnBAfH4/Vq1dj+/btOHXqFO7duwddXV2kp6fj4cOHiImJeeFna4Ovv/4as2fPRqNGjZCcnIyVK1eib9+++PXXX/HOO+9gz5498PDwQJcuXXD58uUS3x0WFobVq1dj5cqVaNasmVZsehG7d+/Gf//7X7i6uoIk1q1bh3Xr1sHOzg7JycmoWbMmGjZsiLFjxyIjIwONGjXC999/j2fPnqFKlSpQKpXYuXMnPvnkE9SoUUNrduXn5wMAZDIZ1q1bhx49emD27NkAAGdnZ0RFReGXX37B7t27pfe0adMGEydOxJMnT7Bp0yZcuHBBa/Zcu3YN7u7uePjwIZRKJR49egQAuHXrFsLDwxEaGorw8HAsWrQIoaGhKCgogI6ODurWrYvVq1fD1tZW6uuv2scKCgpQtWpVyOVyDBkyBJaWlhg0aBACAgIwceJELFu2DF5eXggLC0O3bt3w6NEjbNiwAXK5XPoMpVKJrKwsXL16FbNnz0bDhg211ibFuXjxIq5fv465c+fiiy++wNWrV+Ht7Y0vvvgCX3/9NeLi4vDtt9/it99+g7+/P7777jssWLAAx44dA1DULkePHkV8fDxkMlmpbCksLERiYiK8vb1hb28PfX19eHt7AwBmzZqFwsJChISEwNvbGxcvXnzheEQSixcvRnh4ODZu3AgDA4NS2aRCNW/88MMPCA8PxyeffIIqVarg559/ho+PD0JDQzF37lxkZWUhPDxcehb09PTg5+eH2rVr49ChQ8jNzdWKPa/CzJkzMWDAAOTn5+PLL7+UxvWCggK4uroiJSUFfn5+2LNnD7Zs2YKhQ4eidevWiI2Nxf79+6Grq4sBAwagTZs25Wbzy9BhRa3CyhClUokTJ07gww8/RPPmzf/ytapFSmFhIX7++WesWLECo0ePhr29PXJzc1G9evVysvrNUS3Cs7KyYGNjA1NTUwwbNgzLli0DSbRv3x5z5sxBaGgoTE1NMWLECGRlZWHKlClo0aKF9BACRY5J1apVoaenh4SEBNy9exfLli1DYWEhwsPD8fHHH2P37t3w8fGRBtvMzEwsWbIEOTk5ePbsGbp06YLu3btrte1Gjx6Njz76CL6+vhgzZgxkMhn8/PwAAD4+PoiPj8fjx49Rp04d1KpVCwMHDkRSUhIuXrwIExMTHDp0CE5OTujcuTOAN1+cqsjNzYWvry/Onj0LHR0drFq1CllZWdJDfe3aNaxfvx5Vq1aFh4cH6tevDwDIy8vD7Nmzcf36daxYsQJ16tTR+NzXtcvd3R2xsbFSHw4NDcWiRYvw559/Ys2aNfjwww8xdepU9O/fHx06dHjj+9UWMTExGDt2LHR1dTFq1Cg4OjqCJHbs2IEVK1ZgxowZ8PDwgKWlJQICAjBz5kwolUpMnz5d+gzVYuBVUCqV2LFjBxQKBQYNGoS8vDw8fPgQX3/9NQDg8ePHaNiwIXJzc+Hv74+nT5/CwcEBd+7cQePGjWFoaIjY2Fh06NChxO+iVColR+VNUCgUcHV1ha6uLoYPH479+/fj008/RU5ODh49eoS5c+dCoVCgZs2amDZtGpo1a4ZBgwYBAMzNzaGvr4+wsLA3/v6XMXv2bERGRsLW1hZJSUmwt7dH+/btAQA3btzAjz/+iPPnzyMwMBD9+/fH9u3b8fvvv6N69epITU3F5MmTpUWEtjl06BBOnDiBqlWr4p133kHNmjXRrFkzREZGolWrVjh58iTef/99PHz4EAkJCQgICECnTp2Qnp6OrKws5OTkoGnTplqxJTU1FdevX8f58+fRokULfP3111i5ciWio6Px1VdfYfbs2cjNzcXRo0dx7tw5bNmyBQDQs2dPadwYNGgQxo8frxV7VDx69Aiff/45AOC3337DlClTMGHCBBw/fhyWlpa4desWNm3ahGnTpsHa2hrW1tZISUnBkiVLYGZmBpI4cuQIQkJCMG/evDJ1usaNG4dbt26hV69esLCwwI4dOxAdHY0OHTrgt99+Q+3atbFu3TrY2NhAV1cXOjo6aNSoEaytrdG9e3eQRFxcHLZu3YouXbrA2Ni41GM78L9xODU1Ff3790d8fDyGDBkCDw8PuLm5ITMzEytWrMDBgwdx7NgxfPfddzA3N5fef+7cOXh5ecHFxQUDBw4sbTPh2rVrmDBhAvr06YORI0fC1tYWTZo0wYQJE/DHH39gx44dyM3NRWFhIZRKJTp37owpU6aUarNT1QbPnj2Dvb09OnbsiGnTpgEoGoNHjBiBc+fOYdq0aXBycsL9+/fRu3dvKBQKjBgxAp6enhpri+fPn2vVMS7O/v37ERAQgI4dO8LW1hZKpRJz586FhYUFHjx4gAsXLuCnn37C1atXsXjxYtSrVw+ffvopGjVqBC8vLxQUFKBatWpYs2YNAGhs+r0u6msyKysr5ObmYtasWejRowfGjRsHPT09hISEYMyYMfjjjz9Qs2ZN7Ny5ExcuXMAXX3whjVGZmZnYuHEj2rZti1atWpWqfdLS0nDnzh3o6+ujsLAQR48exQ8//IATJ05g5cqV2LNnDxITExEeHo5u3bohLy8PBw4cwLFjx9CqVSsMGjRImnfz8/ORnp6OevXqlcqm1yE/Px8DBgxAgwYN0LlzZ+zcuRMTJkxAQEAAPvroI2zYsAHPnj3Dzp078csvv2DAgAHo06cPACAhIQENGjTQytigFcrraK28UB2hZ2ZmSvGqhYWFr3S0fvXqVZqYmHDZsmUVKjrwJiQkJEiSziru3r0r1RlS1RUhi9pj8uTJHDRoEM+dO/eXx8UrVqxgu3btpH/v2rWLTZs2lZSAVOTn50s1o7RNVlYW27VrJ4kNPH78mAMHDuTEiRNJFuVskUX5MXZ2dvz555/p6elJJycn2tracsWKFdy2bZvWQz9SU1N5584dXrp0iU+ePJHioVV958yZM/T09OTy5cuZk5MjXb916xbt7Ox46NChUn3/+fPn2b17d6akpPD+/fscNmwYp02bxqysLDo7O7N9+/aMi4uTQjwrQ59OTExkjx49aGlpyTt37tDb25t37tzhn3/+yatXrzInJ0dDQnr58uXs168fd+7cydmzZ7+2cERWVhY9PT35/fffU6lU0tbWls7Ozhohl6r2ef78OadPn86BAwfSwMBACmtVoU1hHW3lmf1VmO+rEhUVxYiICGZlZTEwMJCdOnWShEWKKymSRYIW6jWIsrKyuGrVKvr5+ZVp/ZaUlBQePXqUwcHB/O233/jgwQP6+fmxX79+0riXk5PDyMhIKUxVJpPRw8ODxsbGbNu2LUNDQ7Vii0Kh4LZt2+jr68ugoCCGhoZK4TuXL1+WwrHUmTBhAvv168cTJ05w//79JcbQ0qJUKvngwQPKZDJu376d5P+KwAYFBdHf35+7du3iwIEDuXbtWmZkZLBTp05cu3Yt586dy/bt20vhVbm5uRpqZ2XB6NGj6eHhwWvXrtHf359hYWFS+ND3339PW1tb+vj4sG/fvrSxsWFkZCR/+eUX9u7dm9u3b+fYsWO1ruD54MED/vnnn0xJSWFubi4dHBzo5eVFuVzO3r17s23btrSxsZHec+/ePf7444/8/vvvS+TKaSsX5+LFiyWENB4+fEhzc3N6enoyJiZGEh7Jz89nfn6+VsR+yKJ+PmzYMClvmtTMLR0yZAhdXFx46NAhGhkZMSIigomJidTX12dERITW7Pg7Dh48yHbt2vHChQtcuXIlZ8yYwUOHDjEvL483btxgy5YtOXHiRI4ePZpmZmYMDAxkdHQ0R40axYULF3Lq1KlSjlVpUY3tGRkZknrhgQMHpJpgqnXL6NGjpVDDxYsXc9CgQZK8uXo4pjbC+fLz87lx40Z26tSJpqamDA8P55EjRzTWa2FhYWzfvr1G3cWcnByuWrWKEyZMkNYrFSGood4G3bp1Y4cOHbhmzRrm5+dLuXiPHz/mpk2beOvWLa5evZoODg5cv359udv6KvzjQg1VO/8XLlzApEmTcOzYMWmnjH9xuPfs2TM8ffoUz58/R9euXSuHV/yK5OfnY9GiRWjVqpUUCgEAt2/fRnR0NFq2bInDhw8jOTkZAKCrq4s+ffrg4sWLmDp1qhQqV5zMzEwkJCSgfv36SEtLw9GjR+Hj44P58+eDJNzd3bFkyRKkpKQgLS0Ntra2Wg2tAIpOFWrXro3du3fj5MmTCAwMxGeffYbly5fjzJkzmD9/PoYPHw4/Pz/cv38f1atXh66uLs6cOYPnz59j+PDhGDFiBPr37w8jIyOt2lanTh00adIELVu2xKNHjzBx4kRcunRJ6jsmJiYwNzfH7t278eTJE+l6YWEhnj59+sqnNi+jdu3aqFWrFh48eIBGjRqhY8eOyMrKQu3atREYGIhatWrh+fPn0q5nRffpvLw8zJo1C4aGhmjTpg0SEhJQWFiI6dOn44cffkDVqlVRtWpV9O/fHzdv3sTEiROxZcsWJCQk4MKFC8jNzX3t0N/atWtjwIABOHjwIFq3bo3q1aujfv362L17txReVa1aNeTn5+Pdd9/FxIkTkZWVBTs7O/Tu3Vvjs0pzulUcXV1dkJRCpRISEtC8eXNkZWXhv//9r7RTp6urC7lcjrS0NNSoUQN5eXk4evQoIiMjYWBgUOLE9HXJzs7G48ePERERgQ4dOuD48ePYt2+f1DcNDQ2l196/fx8nT55E9+7dMXXqVAD/ez779++PSZMmSSct2iYnJwdHjhyRwphjYmLQsGFDBAQEwNfXF/r6+lAoFKhevTosLS3xww8/wNLSEgYGBrC3t8f06dMRHBxc6tMl1RySlZUFuVyOdu3aoWvXrjh06BCSkpIAALGxsSXCrQCgatWqsLCwQMeOHWFtba1x+q4NdHR08MUXX8DPzw/+/v6IjIxEnTp18P777yM2Nha6urrYuHEjrK2t0bt3b/Tu3Rtjx45F586dsWfPHvTs2ROurq44deoU3nnnHXzyySdasetFPHr0CAqFAjVq1ICBgQG6d++OlJQUREVF4erVq+jatSvWr1+Pe/fuQUdHB7Nnz8b06dOxa9cufPnll0hKSkKbNm202t8SExMRGhqKgQMHYsyYMTh+/DhcXV0RHByMWrVqYcmSJfj000/x7bffAigaxxs3bgwbGxvUrFkTBw4cQHx8vPR5qpDbF4W6viq3b9+Gh4cHOnfuDB8fHwBF8/1//vMfrF27FpcvX8bChQulub1atWqoVq0aatWq9cbfCfyvT2ZkZKB169aoXbs2Vq9eDQCoUaOGFHq2du1aJCQkwM3NDYMHD8bo0aNRr149NGjQACEhIYiIiCjz0Pb8/Hw8fPgQderUwQcffIC+ffvi/fffx6lTp3Dq1CkkJCRg//79aNq0Kc6fPw8fHx/k5uZi4sSJ0NHRgZ6eHmrUqIG2bduWek4GisbsnJwcODg44Ouvv8a0adNgZWWFwMBA6OjoICQkBC4uLnj33Xfh6+uLbdu2YefOnahVqxaOHz+OjIwM+Pj4IDo6GgC0ku5SrVo1WFlZYceOHfjhhx9gb28PU1NTfPrpp9Jrxo0bBxMTEwwYMEBKQ6levToGDBiAtLQ0HD9+HAC00kaviqrvqNpg//79+Oyzz5CdnY0zZ87gzJkzkMvlWLduHbKysuDv74+kpCQMGzYMZmZm2L17N+7du1du9r4q/zjHCyiKX9XX18cnn3yC5cuX4/Tp0wDwl85XrVq10K1bNxw5cgSNGzcuT3NLTbVq1TBu3DgsWrRIuvbLL7/A19cXixYtQkBAgLTABYDLly/Dzc0N8+fPx5gxY14aevP+++/D2dkZlpaW6N27N1xdXbFy5UpYWVkhNjYWdevWRXp6OurWrYt69eqhZs2ayM7O1uq96erqorCwEPXq1cOKFSvw+++/Y+7cufjxxx9hZGSEK1euoFevXujUqROCg4ORnZ0t2dahQwesX78eqampWrWpOCdPnsSwYcMQHx+PZcuW4erVqwCKJgRra2t07NgRwcHBKCwsRGZmJv744w+0aNFCWni9KXXq1EHVqlWxevVqhIaGIiIiAu3bt8fFixfh5uZWpmEdf4fqOSsoKJCuvfPOO5g5cyZ+/PFHVKtWDUePHsV3332HxMRE1KxZE1lZWZg7dy5iYmJQpUoVvP/++4iIiMDOnTsxZ84c+Pv7v5LzSBIZGRnSv5s0aQKFQgFHR0ds3boVw4YNw++//44NGzZIGwV6enooKChAdHQ0atasCVNTU437KC2VMc9MqVSiZs2a0iT1xRdfYPXq1di9ezeGDh2KuLg46bVxcXGwsrLC9evXAQDvvvsugP85kLVq1cL777//Rna8ip3vvvsuGjRogPbt28Pc3LxCHB3+f5hKbGwsrKys8MEHH8DGxgYtW7ZEVlYWYmJikJqaiiZNmkCpVGL+/Pk4cOCAlAtx7do1fPzxxyU+V9sbIoMGDcLMmTMxadIk9OnTB+np6fD398fjx4/RvXt39OrVC71798akSZPQsmVLODk5ISwsDCYmJqhVq5aUD1uWNGzYED4+PqhSpQomTZoEExMTODg44MyZMzh58iS++uoreHt749mzZ5DL5Xj48CHq16+P48ePo2fPnnBzc8OwYcO0mi/UoEEDjB8/Hnv37sWYMWPQpUsXmJiYACjqgw0aNMCiRYtw5MgRzJ8/Xwqja9asGbp164ZDhw7hyZMnJT73dTds1PtndnY2PDw8MGPGDMkOPT09FBYWomHDhli3bh1u376NefPmvXQD9XWJjIzE5MmTkZeXh7p168LR0REODg7Yt2+flEeqWginpqbi0aNHmDBhgpSj7ODgAENDQ+zatQt9+vQpsw0/9UW5nZ0dhg4diunTpyM6OlraQDtw4ABq1qyJkydPYsuWLfj0009x/PhxfPnll4iNjcXz58/h6uoKX19ffPPNN6VKj1D/3WJiYjB48GBpI3zixIlQKBQICQnBiBEjULt2bcyYMQNHjhzBsmXL8N///hcLFy5EvXr10LVrV1y7dg0ffvhh6RqomE21a9fGxx9/jG7duqFWrVpYsGAB9uzZg7y8POk18+bNQ5MmTeDt7S29t1q1avj0008hl8slh7s8UOUoZmRk4NKlS8jMzMTNmzfRrl07jBw5EsePH8eECROQnp6O48ePo169enB0dMTvv/8OoGiDQFdXt1QbH2VGuZ6vlTOJiYn08fGho6MjT506JV2vDCFXpUFl/8vUg6KiomhkZCSpDOXn5/Ps2bOcNm0ae/fuTQMDAymUSfVZf9UmDx8+ZEhICM+ePcu8vDyGhYWVUHt0dnYuISOtTVT3qlIHMjMzI0lJ6Wr8+PGcOHEiz58/z/Pnz9Pb25u7d+/mlClTyswmsugIfOvWrdyzZw8fPnzIKVOmcOTIkbx16xYTEhLo5ubGvXv3atSoUpdoLW34WmxsLIOCgti7d2+uWrWKR44cob6+PhcvXiwVAi9vCgoKuGHDBilkQT1MQBUqeOPGDbZt25b9+vXjuXPnOGfOHDo4OHD48OEahV2L83fPrlKpZGRkJIcMGcJFixbx0aNH7NOnD01NTaXXjB49mv369aO7uzuHDx8uhXUoFAouWLCADg4OWg8r3Lp1q1QLLDc3V6o7RlL6fvUQwoMHDzIsLIwHDhzgo0ePeOLEiRfe+5vaqT52BAQEsGPHjpK0+saNG+ns7Mzly5eTLArhaNmyJYOCgrT2/a/KypUrOXfuXA0ltsLCQnbu3JmHDh1iSkoKr127RgsLC06dOpX79+9nVFQUc3JyaGFhIY1zpUUVXhMXF0dzc3MNVcuUlBQ6Ojpy8eLFdHNz46BBg9iiRQvKZDIOHz6cTk5OvHfvHs3MzEqUk9AG6r+BehhQv379KJPJpJBZVVhqcHAwZTIZb926xS5duvD8+fM8efIkzczMtFKU9XXsvnv3LqdOnUofHx96e3vT0dGRfn5+nDdvHoOCgnjmzBl+//330rO6detWdujQQUOlVlu2kJrPxZkzZ+jv71+iTW7cuMHOnTtL82thYSFjY2Npbm4uXXtTVN+vXuKl+N+K//vRo0c0Nzenq6urRuHbN2HTpk2UyWS0sLDQULRLTU3l1q1baW9vLyk5Jicns2nTphqy6w4ODiVqnJUFL2qnzMxMbtmyhUOGDOGSJUvYo0cPenl5MSgoiJMmTeLly5el/+/fvz/3799PExMTKbS9NOtClT0qxWd1pk6dyg4dOpAsSovo0KEDL126xG3btrFr1650dnaWwpLXr1/P7t27a+U5fJlNqmLzMpmMNjY2PHz4sKTmnZ6ezmPHjtHV1VUaL06cOMGBAwfy9u3bpbbpdcnMzGTr1q25YsUKkkX98NmzZ0xKSmLnzp0pk8k4bdo06R5DQ0NpY2PDnJwchoaG0s/Pr9xtfhX+0Y4X+c9zvtTzhJydnUvEJO/bt49GRkZcsGABb9y4oVEgcdmyZZTJZNLk8CJZWfV/Fx/oMzIyWFBQQHd3d1pZWUkOxIgRIzTk2bW9GFPZpFpUJCcn08rKSloI3rx5kx06dJBq+UyePJlr1qx56X1p0yaSUj4MWZR35eXlxdGjR3PevHmcMmUKs7KyaGxsXKLoobZsevbsGZ2cnOju7s7mzZvz2LFj3L9/P83NzV+rQKa2SE1NpaOjI1esWEG5XM7+/ftLdUtUpKSk0MXFReqLd+7cob6+Ph0dHXn37t0SNfdeh/v37/PChQv08/OjTCaji4sLjY2NGRQUpLFBYGFhwenTp5MsasNp06bx999/13rh08qWZ6beprNmzWLXrl2ZlZXF/Px8RkVF8dy5c1y3bh0HDhzIPXv20MjIiD/99JP0nujoaP7yyy9aLT78IlauXMnWrVtrFHJX1e4qT0dH1eaxsbE0MzPj8uXLmZqayrFjx0obUIcOHeKtW7f4+PFjKpVKHjx4kOPHj2deXp60OTN06FCtt5l6f1DP8xk5ciTt7Oy4c+dONm3alDt27JBe9+DBA7q4uFAmk/HcuXP8448/2KVLlzKXjCeLJMUPHjwo5bcplUreuXOHkydPZrt27ahQKHjlyhUGBwdz/vz57N27Ny9evMjTp0/T29ub27ZtkwoqlyXHjx9n8+bNqa+vT29vb6lsRWFhIRMTExkSEsKwsDCSRZt/P/74Y4mama+LagzIyMhgs2bNuGnTpr99T3Hna9y4cW+8aN+0aRP19fV5+vRpRkVF0cnJScP5SklJ4fr16+no6Mjt27fzypUrlMlkUp1FBwcHjfqVZbUp81ftlJGRwc2bN7Nt27ZS7ndYWBhnzpxJPz8/qfC9i4sLz5w5Qxsbm1Ln4v2VPXK5nEuWLKGZmRmPHTvG6Oho+vv7c/Xq1ezevbuG07Vp0yaam5trxekqbtPmzZulv50/f15ySAIDAyXnKzs7m+Hh4Tx+/Di7dOmiUXYoPT291Da9Cnl5edL3yuVy9urVS6PgtvrctW7dOo4ePZpWVlZSO+bk5HDLli0lykpUtvX+P97xIv95zpeqzoSvr690raCggElJSezTpw/PnDnDa9eusWvXrtLu1KVLl2hoaCgVhX6R01V8oVk8iXLDhg1SEruLiwsdHR1pZWUlDWak9gfb4japdmYSEhJoZWUl/a6LFy+mi4sLIyIiePz48TLduS1uU/EketWi38zMjP369WN2djatra158+bNMrPp5s2bDAwMlBJ5mzdvrrFgLU9ycnI4ffp0jhgxgh07dqSdnR2dnJw4a9YsjdepFqGq/jx//nz+8MMPHDduHE+dOvVGfUm9T6uSqMkiZ1BfX186KXVyctLYLHBxcWGnTp205mwV5/z58/z222/ZsmVLOjg4cOrUqfTy8tJwDFQng+np6bSxsZGcwrJCtRFDFtVRGjduHC0sLCQhnu+//54ymYzLli3jkydPGB4eTmtra3bt2pWdOnUq02ds5cqVbNeuXQlxj4EDB/L06dM8fvx4mTs6+fn5DAwM5IwZM/jw4UOamZlxxYoVTE5OZqdOnWhkZMQuXbpo7Lqr+t+2bdtoY2MjjQ3JycllOjbOmTOH7du3l0481E+6t27dyqZNmzIyMpL79++nr68vc3Nz6ebmRgMDA5qZmZWp05Wfn8+5c+cyJiaGXl5eHDRoEIODg6VNIaVSyXv37nHq1KmS8/Lrr7/S2tqa3t7eTEhI4Lhx4yTBEBXamr9VzuDx48dJFs1h8+bNY1RUFLOysmhpackpU6YwLi6ON2/e5NKlS7lhwwZ26tRJ2qRRF7kpze+ckZGhsSH0Kqj6wePHj2lgYMAxY8a8tiDD5s2b+c033/D3338nWSSgoapvqu58xcfHMywsTIqmOHHiBPX19WlsbKxRN7SsT8L/qp3kcjk3b97MIUOGSM+Bo6MjnZ2deejQIUZFRXHo0KHSfZaHPUuWLNFw1MePH68RBbNx40atOV2vYpP67zNt2jTa2Njwt99+o5WVFe/fv08vLy8uWbJEa7a8CkqlkkuWLKGjoyPz8vLYsWNHdu7cmaNGjZLaRd3unTt38rvvvmNubi4dHR05evRoyuXyEn2vMq7z/xWOF6npfJ0+fbqizXltVAO7apGqOk04cuSIxuvS0tKk/1++fDkdHBzo6+tLAwMD7t27l+SLnS71zhoWFkYvLy8GBARoKFtdvnyZTk5OUhG/GTNmMCAg4IWfoQ1eZpNKrTIxMZEODg4cNGgQyaJBNDk5Was2vKpNxRXArl69Snt7e2mAL4/CxZGRkezSpQttbW1LnK6VNcX7059//kmZTCadSh49epSmpqZcuHCh9BqFQsGCggK6urpKRXcLCws5bNgwKcztTSgsLOSUKVMkp4IscqycnJzYokULduzYke7u7tLfRo8ezb59+0qLZG04X0qlUmOXMC0tjTKZTFLmvH37Njt16kRPT0+Ngo4KhYJnzpyho6OjVGi6LCaO3NxcBgYGsmXLlrx69SpTU1MZFxcnLcCfPn3Kjh07sk2bNty/f79UdFy1gC7LwvLr169n27ZtGRMTo3F91KhR7Natm8ZiqSwdnZycHM6dO5e2trZs06YNV6xYwaSkJLZv357Lli0jSQ4dOpS9e/eWTptUC97t27dz4MCBr6yo+7qob/b4+/vT2NiYEydOpJWVFR88eCD9TWXPtm3b2LRpUw4ZMkRaAJKkr69vmYcX3r59m8OGDeOIESOksNorV67Q2NhYo5j83bt36evrSzc3N9rZ2fGHH35gcHAw9+3bx02bNmlNJZB8uTOo6tfqm463bt2ipaUlp02bxoiICI4ePZrx8fHs2bNniefgTX7rXbt2ccOGDczNzaWFhQV/+OEHjb+fPHnyb583dedLdTr3qmzcuJEymUxyulR9Ky8v74XOV3R0NN3d3env78+8vDyePn1ao3BtWTldf9dOJ06ckNpJFXbo5OREV1dXDh06lPPnz+fKlSsZGRnJffv2ldrW17FHtWFMFrVfnz59pOfw559/1lqY79/ZdPz48Rf2cW9vb3bv3p3ffvstHz16xEWLFklzcnk6LgkJCTQxMdEoVu7p6Uk7OzvpNaq+npqaSicnJz558oQKhYK2tra0srIqNyXN0vCvcbzIooX61KlTaWlpKQ0ybwOenp50dXXl9evXaWZmxlWrVjEpKYlt2rShvr6+xk6gajGrIiIiggYGBjx48CDJv69a7+HhQTs7OwYEBHD16tXMycmRHtCcnByOGjVKkkNVpyx3uF5kk2oSSExMpKmpKf38/Mp1gPirdlKxdOlSrlu3TuNaWdqoUCgYFxenFYnx16GwsJC//vorR40axYcPHzI+Pp69e/fmwIEDpdcMHjyYdnZ2tLe313DWyaITnkePHkn9trR9qaCggGfPnuWgQYM4ZcoUjhgxgmPHjiVZlPeir68vOYSjR4+mnZ2dtNjQhlRuZcwzexFyuZzh4eFcsmQJExMTOXToUP74449ctWoVDQwMGBISQldXVx4+fPiFuQtlwYYNGyiTyUosGJydnWlrayu1SfFT5p07d3LAgAFac3RUffHq1av85ptvOGfOHObk5NDU1FTKaSksLGTPnj1pbGxMc3NzacLPzs6mt7d3meQXZGZmcunSpVLkxowZM2hsbCxt/AwePJh9+/aVHJr8/HzpXoKCgti2bdty35Qhi9rx+++/54QJE3j27FlaWVlJ0Rgq+5RKJe/evaux0EpISJCcWm3yV87ggwcPpH6mGg/u3LlDS0tLmpqa0sXFhc+fP6eNjQ1PnDhRKjtSUlK4efNmtmzZkjKZTDqhV7Fnzx7KZLJXCpl9kw2jjIwMuru7S5s8xUO81Z0vb29vad49ceIEjYyMpAiagwcPar1cizqv2k6XLl3SuLfNmzezU6dO0sanKk+ptOP8m9ijzoYNG+jh4cFhw4axc+fOWnG63qQvqbdDUFAQZTIZ4+Li+PDhwzLdXCuOekrErFmzSoz/ffr0KRHKm5OTo5F3plAoOG/evLI1VEv8qxwvsigW2sfHR6NOQmXnwoUL0sP0008/8enTp2zRogWDg4O5adMmWltblwjDUH+gVCdEf+d0Xb58mb169dJYuOfm5tLDw4NXrlwhWRTSNnfuXI2FWFk6E39lk2oASUhI4NmzZ8vMhtexqXholDZqcFR2FAoFr127Rj8/PwYGBtLIyIimpqbSac7QoUPp5uZGuVxOMzMzzpw5k2RRXtXChQs1hCbUFw+l6VdKpZLXr1/noEGD2KpVK5LksGHDOHnyZKanp7NFixY0MzNj3759pWdFm/VJKlue2cvIzc1lQUEBDx48yPXr1/PXX3+lTCZjSEgISbJ///7cs2ePxnvK6nlfvXo1jY2NOWXKFLq7u0s76J6enhpOq7rTdfbsWT558oQ+Pj4atcVKg+r+YmNjpdBKJycnGhsbS7luCoWCPXv2ZHBwMB8/fkyZTEZra2vpd4uOjpYiA7RJfn4+LS0t6eLiwuDgYBobG0sLpL1799LQ0JDOzs7s2bOnxsnX3bt32alTJ8nZKe/wm8LCQsbHx3Ps2LE0NDSkt7f3S22IjY3lxIkT6enpWcLB1iZ/5QwqlUrJCVH9Nz4+nqamplIeU2kdDdV4k5iYSGNjY6n2W2xsLMmifO1vvvlGQ8RDWyxfvpyHDx9mUlLSS9v4Zc6X6vTG29v7had+2uZ120l9zMzKyuLGjRtpY2Oj4dyUpv+X5ndTt01Va0p9/qsIm9SFg/z8/Mq8fl9xli9fzubNm0s1xfbv3882bdpw8uTJ0nh7/vx5uru7S2s+VZ9V3UfxdVZlDC9U51/neJEld0srM6oH9fbt2zQxMeHYsWNpZGQkxd8mJSVx8+bN1NfXLxF2WFyx8O8646VLl9itWzeNIqipqans16+fRuhXeRbQe1WbyPJ72F7FprI+raiMKBQKGhsbSzttc+bMYbt27Whvb8+cnBwOGzZMI69q2LBh7N27d5k5F0qlkjdu3KCjoyNlMpnGdzs5OfHbb7+VnB5t2lBZ88z+jidPnrBDhw6cP38+yaI+bG5urvVCvy8iLCyMhoaGUjhZSEgIJ06cSBsbG+rr69PPz08jb6mgoICpqans1q0b58yZw7i4uBcWe35T7t27x27dujEkJIQXLlygTCaTFuV5eXns0aMHg4KC+OzZM3bt2pXz5s3jqFGjaGlpWWabLap5KysrizKZjGZmZtIiac+ePTQ0NOThw4dJFjmrffv2lcao69ev09PTs1wENDIyMqSNwOzsbElt9vr162zbti1lMhnNzc3p6OjIkSNHcvz48Rw7dqwkVqJUKnnt2rUyt/VVnMHiJ0CbN2/mypUrNV7zJvOOag7NysqihYUFZ8yYQbIo36ZPnz6MiIhgs2bNpN8zLi6Oa9as0UoY1d27d2ltbU2ZTEY3N7cXKiiqUHe+tm7dyiFDhtDb25t5eXm8fPkyFyxYoJHeoG3etJ3UT0mTkpJKfTJZWnvUf7fijmFlsKmiUYVJP378mIWFhezfvz8XLlxIExMTenp6cvHixbS3t5c248iiE77ff//9rVrPq/hXOl5vG6rj/X379lEmk0my1CpmzZpFY2NjpqamcteuXQwKCuK1a9ek3Y4X8aLF3dWrV9m8eXMpuV6Fq6trCZXAskDY9PaSk5NDMzMzjYTh4cOH08zMjKNHj6aNjQ3HjRtHsmgyHz16NO3t7UvsXGmbwsJCnjlzRlK4IsmRI0fS0dGR0dHRGrkJ2v7eis4zex2ePXtGmUwmnUaSRaID6uF9ZUVycjL9/Pw0ThAUCgV79OhBExMTnj59mnPnzqW3t7ckgKBi586dNDQ0lEoXaAOVKqfqBC0lJYXdunXjtm3bmJmZSWtra8npMjc3l/IWf/nlF5qbm2s1F0mF+uI+MDCQ7du3l+T/VSddhw4dIllU/sPExIS2tra0tLSUBDfKQ5ksLy+Pa9asoaWlJaOjo9m1a1e2atWKnp6e9PDw4KZNmxgcHMzOnTvzypUrDAoK4vfff08/P78X5nVqazPtTZ3BcePGSREj2kJ1T3K5nBYWFhohYQqFgkOGDKFMJuP69etJFm0CfPvtt5TJZPzxxx+1MjYUFhby6NGjUiTLq9hbUFDAbdu20cLCQlLJVM9d0jalbacXbRCXNoqiNPao/27aGt+1aVNFnBKpRw2NHz+e1tbWTEhI4HfffcfVq1czJSWFgYGB9PT0pEwmY6dOnSQFUQsLC3bv3r3UJRwqAuF4VXJUD8a1a9fYvHlzqZ6BipCQELZo0UKKdQ0KCqKDgwNNTEy4ePHiv/xMsuj05syZM9KuVVhYGL/55htu27aNp0+f5t69e2lsbMyLFy+Wxe0Jm95iFAqFxq5ZYGAg27Vrx7t373L06NGS7HOHDh1oamrKCxcuMDc3ly4uLlrPq/or1EOGRo0axb59+0oLhtLWvXkZFZ1n9iaoh6bJ5XK6ublx/vz5fxuirA2KL+BGjRrFnj17slevXly2bBnlcjkDAwM5depUnjx5kmRRO9nY2GhdXlwul2uI4cjlcrZs2ZI9evRgq1atpBxFc3NzKSRTLpfT09OTkyZN0qotxQkNDaVMJpNO1Xbv3q1x0vXgwQO2b99esisgIID29vYa/bysf8s//viDBgYGNDAw4NKlSymXy9mxY0eGh4eTJGNiYmhubs6UlBTJljt37nD69OkMDg7mypUrtRrupG1nUBsoFAoOGzaMFhYW0jV10ZghQ4bQxcWFhw4dopGRESMiIpiYmEh9fX1GRESU6rRC1eaZmZmSU/mquZFXr16liYkJly1bVi4L9dK2k7bzAyvyd3ubbHoVFAoFN27cqJELO3bsWNra2vLMmTPSGKdSqlWtucaOHUs/Pz9u2LDhrRTKI4Xj9VZw//59tmjRQkMRjiQXLVrEVq1a8cmTJyV2pS9evPhCqVT1140fP55mZmbs1KkTjY2NuWfPHqampnL58uXs1KkTbWxsaG9vz19++aVsbkzY9NZSUFDAWbNmceHChRqhVXPmzKFMJpNqqg0ZMoTjx49nUFCQdKqjrlBUXk5Geno6R44cyf79+0sOjnqIQlmc6lR0nllpWL16NZs2baoRTluWqC/inJ2d2atXL5JFYVFt27bltWvXGB8fz5kzZ9LLy4urV69mr1696OzsLL2vLH7D/Px8ZmRk0MTEhO7u7nR0dGRwcDC7dOlSYmNLPcKgLBalz549o6enJ52cnJiWlsbDhw/T0NBQ2vF9+PChhtNFFiWlGxoa0sbGhnl5eeW2q+3r60tnZ2deuHCBXl5etLOzo5eXF5VKJePj49mmTRsN51Y1nkyaNIldu3blwYMHtXrqW1pncNWqVVo5VVV9dnJyMsPDw2lvb69xGq8+ltra2lImk0mhvyTZrVs3ymQyzps3r9QFfw8dOsQBAwbw6NGjJex7EXK5nFFRUWzevHmZbVgVt6Oi26my2lNZbXpd/vzzTxoYGNDLy0u6NmHCBFpbW0u5g6px/eeff6atre0LP+dtS+0QjlclQr3zq3ekn376ia1ateK2bdukeOwFCxbQyMiI9+/fl07DJk2axKVLl77Sd61fv57Dhg3jo0ePmJqaysDAQLZq1UqaxOPi4piWliZNNuWx6y1sensIDQ1l8+bNpVAV9f66ZMkSGhkZsWfPnlI4nVKppJmZGY2Njfnbb7+Vu73R0dHs0qVLuZ8qVVSeWWnIz89nREQEd+3aVe7f7eXlpbFzK5fL6eHhISkJ3r9/n0FBQbSxsZEESsiynXjlcjl79uzJixcvMiIighYWFnR0dJT+Xp6J3U+fPuXcuXNpZ2cnFUAmi5y+4k6Xvb09R4wYwdzc3HJXOlW10x9//MGVK1dy7ty57NChgzROWlpaSmOoqpyCqh2TkpLKZBdeG85gacaNAwcOcNKkSVLqQHJyMrdu3Uo7O7sSJ2spKSls0aKFRi2l/v37S3l6d+/efWM7VCQkJNDd3Z0DBw58rfqmZd2XKls7VTZ7KqtNr4Lq+SkoKJDm4piYGLZr147ff/+9hn12dnaS4AZZVBKjZ8+ezMnJeetFy4TjVUl40Y63+gA4b948Ojg4cNu2bZw9ezZbt24t7bDm5eUxMjKSU6ZM4dy5c//2u9asWUMzMzOpToKKqVOn0szMrEI6tbDp7WHRokVs166dpNr2Ihl41ckEWdSnXV1d2bdvX/r6+rJ3795lKj38MlTPU3mfKlVUntnbxrNnz7h9+/YSY2FoaCh79eolTdTZ2dkaSmplvdsZExOjoVi4dOlSOjs7c+HCheWSN1UcVd5Dv379mJaWxvT09Jc6XSrKuoxF8e+Ii4tjhw4dGB0dzQMHDnDnzp20tLTkw4cPmZuby7Zt23LDhg188OABu3btSmtra4aEhGitoO2LqEhncNOmTZTJZLSwsNCoiZWamsqtW7fS3t5eEm9JTk5m06ZNpc0GknRwcODo0aPf+Ptfhnp909dxvsqKytZOlc2eymrTq6AaJ+RyOceMGcODBw9K/Sw6OlrD+Vq8eLE0Lqicr8mTJ2sU6X6bqQpBhZOfnw89PT1kZ2fDzc0Ntra26Nu3L3R0dFBYWIgqVapg0qRJmDdvHubMmYNq1aphz549SE5OxqZNm2BjYwNLS0t06dIF1atXBwCQhI6ODgBIn6Hivffew0cffYRLly7h3r17+PLLLwEAdnZ2uHz5MjIzM/Hxxx+X6T0Lm95OFi1ahC1btmDZsmUwMDDQaDNdXV0olUro6urC19dXeo+bmxuSk5Px888/AwA2btwIIyOjcrddR0cHJFG1avkOe7q6umjbti1MTEygVCoxZswYpKWlYePGjahevToiIyPRuHHjcrWpMlKzZk3069cPAKBUKqV+9Z///Ac5OTnS71ajRg3UqFEDQNE4p6urW6Z21a5dGy1atJDG05EjR0KhUGDfvn1o2rQpevToUabfX5yPPvoIrq6uWLlyJTw8PHDlyhW4ubnBxcUFANCvXz988MEHWLFiBQBIz2RZUFhYiKpVqyIzMxO+vr7w9PRE48aNUaVKFXzxxReIjY3FwYMHoaenh/v37yMlJQV16tTB/PnzYWhoiNq1a2PNmjW4fPkyPv74Y63ZWVBQgKpVq2rMg5aWlli/fj3effdd1K9fHx988AFq166NnJwc5OXlIS0tDUlJSXj48CF8fHxQvXp1dO3aFS4uLvjkk0/e2JbNmzdj1qxZWLVqFZ4/f461a9fC398fM2bMQJ06ddC1a1fk5+dj//79qFWrFr766iuQxGeffQYAcHR0xPvvv4+IiAgA2v0969WrBw8PDyxatAhhYWEAAFNTU2msVLVdeVDZ2qmy2VNZbXpVqlatimfPnqFv375ISEjA9evXUb9+fRgaGqJp06ZYs2YNRo4cCVNTUzRq1Ai//fYbfHx8MGbMGISHhyM1NVVag731VJjL9y9HJWWrIisri126dKFMJitRYFZ9R3f58uXS0fDChQvZr18/tmjR4qXV6tXDl1auXEl/f39u3bqVW7Zs4ZAhQzhx4kRJtnfbtm3s1q2bVhXChE3/DAoLC7l06VJJPEN17a949uwZR40apaFeqM6/ISRTnYrIM/sncPjwYbZq1YppaWkVFo6pOvlQV51UFY+tKJKTkxkYGMiePXtKc4m9vX2Z570VJz09nV26dGGrVq1oaWkpjQ+qOamgoICPHz+mqampNIZeu3aNU6dOLZOTXlUfycjIoJubm5SP9OTJEw4aNIiRkZEcP348J02aJBW5lcvlPHXqlCTG8OjRI+7du5dnz54tlXLf5s2b+c033/D3338nWXRaq6qJpX5aER8fz7CwMI4bN44XLlzgiRMnqK+vT2NjY41d/rL6PSv65KuytVNls6ey2vQqqNdPMzMzk+Tu16xZw+vXr2u8dufOnbSwsNDogx4eHtTX15dUW8m3f+0gHK8K4uTJk5wwYQJTU1OZmZnJjh07MjAwkDdu3GCzZs00Oh75v8kkPT2dc+fO5datW1lYWMiEhATu3Lnzb79v/Pjx7NOnDydNmiQVpdu1axdHjRpFIyMjSVmtuER6WSJsensIDw+nTCbj0KFDNa7L5XLGx8czISGBSUlJkhhDfn4+AwMDNSTSK4twREVRUXlmbyuqyXXr1q3s0aMHFQpFpXBOizt/FbkISElJYXBwMF1cXNi1a1e6ublJfysrwZhbt25JamKpqak0NTXllClTSBap6trZ2ZUQZYmLi6ORkRHv3bvHgoICnj9/nr6+vuzcuTMPHjyodTsrgzO4ceNGymQyaaGseu7VCxKrL5ijo6Pp7u5Of39/5uXl8fTp0xphyGXd99Wdr/JUi6ts7VTZ7KmsNr0K8+fPp5WVFUeOHMkuXbpoyN0XtyExMZG5ubm8f/8+8/LyNOZH9RJKb7vTRQrHq8KIjo6mmZkZd+zYQTMzM/7www/S35YsWSLVyShOeno6BwwYoCHBqeJlHfL333+nlZUVk5OTSRZNOgqFgj/99BPDwsLo6OjIMWPGSJLEryotWxqETW8PCxcuZNu2bRkaGsohQ4ZIktm7d++mubk5jYyM2KpVKxobG7N79+5SLkRMTIy0SBVORhEVlWf2NuPi4iKpZApKkpyczJkzZ9LIyEhyIspqYaVUKvn999/TxsZGUgZUVyQbPHgwW7VqRSsrK+mkqaCggFevXuWCBQsYFRUl1Ucji8RCSluAtzI6gxkZGXR3d+evv/5KsmQhZvUFs7e3t7RgPnHiBI2MjKTT1IMHD5ZrPmxiYiKnTp1KS0tLaZFfllS2dqps9lRWm16VwsJChoWFUSaTccGCBXz48KFUEkl9DgwJCeF3331X4nS5+DxZGTbetIFwvCqQpUuXUiaTSU7Uhg0bJMWg4g+X+v8fOHCAxsbGf1kgWZ3Dhw/T2tpaw1G4ffu2VHzu4MGDdHFx4bhx48pcJlbY9PagVColIY2YmBiSRad/Dg4O9PHxoVwu59GjR7l3715GRUXx0KFDPHbsWIkk9Mqi1ldZ+Dc469pCLpdzxYoVPHTo0L9GMfRNSExMZFBQkIboSFlRUFBAExMTymQyTp48Wbo+YsQI2tnZMTU1lQsXLmTv3r2lxHjVGLBs2TKam5tr1Z7K5AwuX76chw8fZlJS0gvDq1X2kiUXzKpFp7e3N3v27Fkuv+WLePToEX18fPjo0aMy+47K1k6VzZ7KatOroq5e2KVLF86cOZNk0fpBJpNx9+7d0msXLVpEAwMD3rx5s1xtrEiE41UBqCah69ev08bGhg8fPmRcXBxHjBhBZ2fnvx30r1+/zgULFkjS8n/HjRs3qK+vX6LC9/Dhw7lnzx6S5Pbt2zl+/Phye0CFTZWbvLw8/vDDD2zfvj2vXr0qXc/JyeHevXvZr18/+vr6VqCFgn8LlSXEsLJT1qeoqnkrOzubrVu3ZnBwsPQ3Z2dnjfp8QUFBbNasGW1sbDTkqv/880/a2tqWyO3Qhm0V7QzevXuX1tbWlMlkdHNz+8v5WX3BvHXrVg4ZMoTe3t7My8vj5cuXuWDBglKfBJaGly30tUFla6fKZk9ltelVUVcv7Ny5M4OCgqS/3bt3jzt37qSpqSljY2MZERHBli1b8s6dOyTJ3NxcFhQUSKd2/1SE41WOJCYmMjExUWNQGz58uCQBf+TIEQ4cOJA2NjY8c+aMtOBNTk7mzZs3eeDAAY06I6+KQqFgQEAAu3Xrxn379jE2NpZ79uyhsbGxxtFzeVYwFzZVbp48ecL27dvz0qVLJIsWKarFb25uLvfu3UsHBwcp7JAs28laIBBUPJmZmTQ1NZUS5MmSTldYWBjbtWvHCxcuMDw8XMPZSU1N5ZIlS1550/DvqGzOYGFhIY8ePSrVN/wrVAvmgoICbtu2jRYWFlKKQWkEPd4GKls7VTZ7KqtNr4pcLqeFhQUDAwOpVCoZFBTEYcOGcfLkyXz69CkXL17Mtm3bsl27drx//z6zsrIYGRlJT09P9u7du4TGwT8NISdfjkRFRWH+/Plo2LAhatWqhQEDBqBly5ZITk4GAHTu3BmPHz/GrFmzsHnzZly5cgW1a9dGamoqsrKy8O6778LOzg4mJiav9b1Vq1bF2LFj8c4772DatGn4z3/+A4VCAX9/fxgZGUmS4LVq1SqL2xY2vYV8+umniIqKQo0aNTQk40ninXfegYWFBQBgw4YN8PLywo8//ohq1aqVkOQXCAT/DEhi7dq1yMnJwYgRIwAAI0aMQHp6ulQqIiwsDJs2bcLmzZvx3//+F/Hx8YiJiUGvXr0QGRmJ+vXrY+TIkVor6VClShVkZWXBysoK1tbW8PLyeqFd4eHh2L17N9atW4dz585h0qRJWLx4MT777DPUq1cPlpaW+Pzzz0tlC/+/tEHLli3x7NkzAEVy3To6Oi+UZVddq1KlCmQyGeRyOdLS0kBSKgvzT6SytVNls6ey2vSqduvo6GDatGlITEzE4MGDER0djQYNGqBevXoYNmwYAEAulyMjIwPr169HVFQU1q9fj6pVq6Jdu3YwMTFBu3btys3mCqGCHL5/JapTq59//pleXl6Mi4tjcnKyhmJLYWEh7ezsuHr1aiYmJkpyoJcuXeLjx49LnePw5MkTPnnyhAkJCSQrR76JsKly8rJ7Vl1XnXw5OjpKiex/9T6BQPB2k5iYyODgYLq5ubFXr14aoiehoaFs166dlEd1/PhxGhoacsOGDWUmva9UKhkaGsqWLVtK4hnFT7pUdqlyovfs2UOZTMYWLVpI47u2wjQLCgp46NAhDhgwgEePHtWw82XI5XJGRUWxefPm/4rcYbLytVNls6ey2vQyioeC3759m3Z2dpw7dy7lcjnPnz/PjRs38vbt2wwLC6ORkRFtbW0ZEhLCHTt28Nq1ayXSN/7J6wgdkqxo5+/fiKpwXX5+Pk6ePImuXbtKuwXBwcF499134e7u/sL3spwLGwoExVH1wby8PERFRWHdunWoXbs2Vq5cWdGmCQSCMiQlJQURERHYv38/wsLC0Lp1a4SGhmLz5s3YuHEjGjdujOPHj8Pd3R2zZ8+GtbW19N6yKNialJSEtWvXIi4uDnFxcXj33XexdetWAP87gVPZdeLECYwfPx5eXl6oU6cOLC0ttWoLACQmJmLOnDlISUnB2LFjYWpqCuDv5+20tDTUqVNH6/ZUVipbO1U2eyqrTcVRRblkZ2fjxo0bMDAwQI0aNRAXF4eMjAw8f/4c3t7eGDt2LFatWoX09HTs2LED69evR82aNeHh4VHiM//pa9zyKVn9L6OwsBByufyF11WoJp/bt29j5cqVOHnypNTR3nnnHVy7dg1A0URVnH9yhxS8Hejo6Ehhh926dUOvXr3wzTffVLRZAoGgjKlbty5cXV3Rp08fbNy4EZMmTcL27dtLOF2zZs2CtbU1WJRLDgBad7oAoF69enB2dkaDBg2QnJyMyZMnAwBCQ0M1nK7jx49j/PjxmD17NgYNGiQ5XS+aY0tD/fr1MXXqVHzxxRcICwvD6dOnAfxvzHwZ/yanC6h87VTZ7KmsNhVHFe7bv39/eHt749q1a8jPz8d//vMfGBoawsjICIcPH0ZOTg5SUlKwadMmfP7554iPj8enn34KACXu5Z++xhWOl5ZRKpXYuXMnfvrpJwDAs2fPcOrUKeTl5aFKlSolOtjXX3+NrKwsydECijrdO++8I/2/QFAZUQ3+1atXh6OjIyZNmgSg5CAqEAj+WdSpUwcjRozAJ598gqNHj8LT07OE02VjYyONBWU9j1VGZ9DDwwONGzd+rQXzv43K1k6VzZ7KalNubi4WLlwIoGiN6+bmBktLS7Rt2xbBwcGIiYmRXlu9enX89NNPmDNnDrZs2YIvv/wSMTExOHPmDBo2bAjg37fOFY6XltHV1UVSUhKOHj0KuVyOPn36YPbs2Th8+DDy8/M1HpbCwkLo6enB3t4eDx8+BFC0aL179y4aN24M4N/XIQVvF6r+qaenB+CfHyIgEAiKqFu3LlxcXODo6IhTp05h6dKlmDBhAmbOnFmuTpeKyuYMVsYFc2WksrVTZbOnMtp06dIlnDhxAteuXYOrqysMDAwwfvx4BAUF4aOPPoKfnx/u3bsHoCgU+OnTp9i1axeaNGmC/Px8HDlyBCYmJmjZsmW5214ZEI5XGTBu3DhUrVoVbdq0gYGBAbp27YqdO3fi0KFDGs6XSv3t888/x6lTp5Ceng4dHR1cu3YNH3zwQcXehEDwBginSyD496Du7CxduhQDBgxAr169pA2Y8h4PKpszWHzBfObMmXL9/reFytZOlc2eymaTqakpPvjgAwwYMABdu3aV1EQBYMWKFfjggw8wfvx4JCQkoF69evDx8UGzZs0AFJ2W7dmzB998840U2fVvQzheWqCwsBAZGRl4+vQpACAjIwNPnjyBi4sLFixYgEmTJuHGjRvYsGEDfvvtN+Tm5mo8LI0aNULVqlXx8OFDkISzszMGDx5cUbcjEAgEAsErUbduXYwcORLm5uZS6FBFnuhUNmdQtWD+8ssvMXPmTJw7d65cv/9tobK1U2WzpzLYVFBQIP2/l5cXTExMYGpqig0bNmDjxo24ceMGAGDNmjVo0KABXFxckJmZKZWlAYpyLz/88EO4ubkB+HemJgjHSwscO3YMkyZNgo+PD86cOYMhQ4YgJycHEydOBACMGjUKzZs3R5MmTRAWFiYdwebm5qKgoACNGjVCs2bNUFhYCB0dHQwdOhR6enr/yg4pEAgEgreLjz76CDNmzMCgQYMAlE3e1OtQ2ZzBevXqwdXVFUZGRvjss88qzI7KTmVrp8pmD1BxNoWEhGDHjh2SGI2Ojg7S09Nx/vx5AMDu3bsRFRWFwYMHY8mSJVi5ciX09PQwcuRIFBQUSBFew4cPx4oVKwD8e1MThJy8lnj8+DEuXrwIb29v2NnZoUqVKjh16hQ+//xzfPDBBwgLC8OgQYNQv359zJ8/H/n5+RgyZAi6deuGkSNHQqFQoFq1ahV9GwKBQCAQvDGVaTGVmZmJ999/v6LNkBDz/KtR2dqpstkDlK9NCoUCrq6u0NXVxfDhw7F//358+umnyMnJwaNHjzB37lwoFArUrFkT06ZNQ7NmzaRNGHNzc+jr6yMsLKxcbH0b0E75+H8xqhoGH374IUJDQ+Hk5IRp06YBADp06IBr167h2LFjGD58OOrUqYP58+cDADw8PCCXyzF06FAAqHQPtUAgEAgEr0tlcboASE5XZXEGxTz/alS2dqps9gDlZ5NSqUS1atUQERGBOXPmYPr06YiPj8emTZtQs2ZN3LhxA3p6eqhatSrS09Nx9epVODg4ACiK6mrbti2ePn36r6tT91eIUMNSopKIX79+PZ4+fSrlZo0YMQL6+vowMzNDp06d8M477yAsLAwKhQIuLi54+vQpdu/ejWrVqmnEzQoEAoFAINAelcHpEgjeRnR1dSUxOKVSiYSEBDRv3hxZWVn473//iz59+kivk8vlSEtLQ40aNZCXl4ejR48iMjISBgYGwulSQzheWkBHRwddunTB8OHDMWPGDPTq1Qs1a9ZEREQEUlNT8dFHHyE6OhppaWnw9PREcnIytmzZIjldVauKg0eBQCAQCAQCQcXxooLiOjo6OHz4MI4dO4YtW7bgq6++wurVqxEVFQUASEtLQ3JyMk6fPo3GjRujbt26qFatGj7++GOMHz8eEyZMAPDvFNJ4ESLHS4vcv38f27dvx759+zB//nysWLECNWrUwKJFizBhwgQcOXIEjRs3xu7duwFAOF0CgUAgEAgEggpHqVRix44dUCgUGDRoEPLy8vDw4UN8/fXXAIq0DBo2bIjc3Fz4+/vj6dOncHBwwJ07d9C4cWMYGhoiNjYWHTp0KHHKrFQqK1x0p7IgWkGLNG7cGAMGDICtrS2GDh2Kd999F4sWLQIAPH/+HDVq1EBqaipyc3MBQDhdAoFAIBAIBIIKJzs7G+fOncOVK1dAEg4ODggODsbZs2cBAA0bNoRCoUD16tUxffp0NGzYEOvWrcOyZcugUCjQsGFDdOzYETo6OiVOzoTT9T/EiVcpUE/YVYlsAEBMTAzu378PKysrAICLiwtSUlKwYcMGuLq6okmTJpIAh0AgEAgEAoFAUNFcuHABzs7O0NPTQ5MmTdCkSRMUFBRgwIABaNGiBQAgPz8fenp6yMjIwODBg9GyZUv4+/tXsOVvD+LI5Q1Rd7QAzdjVpk2bomnTpigoKICbmxtSUlKknK7Q0FC89957FWGyQCAQCAQCgUAAoGjtmpmZiQ8++AAA0KRJEygUCgwePBheXl64c+eOVIuroKAAbdq0gZ6eHgoKChAdHY2aNWvC1NRU+iwhZPP3CMfrDVAqlZLTFR4ejkePHqFWrVpwcXHBJ598AgCQy+UYNWoUlEql5HQVFhZKTpfooAKBQCAQCASCioAkDh48iC1btqBVq1bo27cvxo8fj7p168LLywsAMG/ePHzyyScoKCjAkiVL0KBBA6ko+blz50AS3bp1AyDUQ18VEXT5BqhiVVWCGbVq1cLnn3+O9957T5KGf/r0Kd59911s3LhRUi9UPyETHVQgEAgEAoFAUBHo6OigadOmGD9+PFJSUtCtWzfUq1cPCoUCwcHBGDFiBHR0dLB9+3bExMTg888/R8OGDZGdnQ1/f3+YmJhg+fLl0NXVRWFhYUXfzluDyPF6Q65cuYLp06djzZo1Un2CvLw8TJkyBc7OzjA0NJReK9QLBQKBQCAQCASVBfXIK3Nzc5ibm2PatGlIS0tDp06d8Mknn+DIkSMYPHgwPvzwQ4SGhgIAxowZg+joaBw5ckTjQEHwaogTrzdEqVQiJycH2dnZ0rXs7Gw8efIE58+fB/C/vC/hdAkEAoFAIBAIKgsq9UFvb2/Ex8dLom9Tp05FixYtkJGRgU6dOqFOnTqS0+Xi4oLk5GQcOnQIVapUESddb4BwvF6BF3WsqlWrIjk5GdevX5eu1alTBx9//DGqVasGQIQTCgQCgUAgEAgqJyTRp08ftG7dGt7e3hg5ciSqVKmC9evX48svv0RaWho+/fRTAP9zulS6BcVTaASvhjiK+RvU1Qv/+OMP5OXloWnTpjA0NMTIkSMxefJkZGdn47PPPkNqaiouXbqEESNGVLDVAoFAIBAIBALBy6lSpQratm2LWrVqISgoCDExMbh48SKGDx+ORo0aYfny5TA3N8evv/6KDz/8ENu2bUPVqlVFCk0pEK32F6irF7q7u+PGjRsoLCxEbm4ufH19MXDgQFSvXh3h4eF477338M4778Df3x+tWrWqYMsFAoFAIBAIBIK/RkdHB/r6+vDx8UFgYCCaNm0KCwsL/PjjjwAAfX19XLlyBR07dkTVqlVRWFgonK5SIFruL1CpF27YsAFyuRzr1q1DjRo18NNPPyEgIABBQUEYOXIkevTogVq1aqGgoAAff/yxlNslQg0FAoFAIBAIBJUZHR0dNGvWDB4eHoiJicHw4cMBAKNGjYJCocD27dvRp08ffPvtt+jfv38FW/t2I1QN/4a1a9di7dq1aNeuHWbPni1d9/X1xdmzZ3Hw4EHo6elVoIUCgUAgEAgEAkHpUCqV0NXVhVKpxJgxY5CamoqNGzeievXquH//Pho3blzRJr71CHGNYhQX0njvvffw0Ucf4dKlS7h375503c7ODtWrV0dmZmZ5mygQCAQCgUAgEGgVXV1dZGRkwMXFBRkZGdiyZQuqV68OhUIhOV1KpbKCrXy7EY6XGupCGqtWrUJAQAAUCgX69euH+vXrY/HixYiOjgYAxMbGQqFQVKS5AoFAIBAIBAKB1khMTMTdu3exceNGSb1QpdYN/C8NR/BmiFDDF+Du7o5Hjx7hyy+/xJdffglXV1fs3r0bkZGRuHDhAoyNjZGcnIyRI0fCysqqos0VCAQCgUAgEAi0gqq4slAv1D6iNYtx7tw53Lt3D2vXrkXdunVRWFiIgoICJCQkwNDQEFlZWdDV1cW4ceNgbm4OpVIJHR0dIaQhEAgEAoFAIHjr0dHRAUnhdJUB4rywGNnZ2dDR0UGdOnVAElWqVEFsbCx27dqFpk2bYvjw4SCJXbt24f79+9DV1RVOl0AgEAgEAoHgH4NY25YNwvEqRr169fDgwQMcOXJE6nRfffUVGjZsiOfPn6NHjx7o1q0bdHR0ULNmzQq2ViAQCAQCgUAgELwNiDPEYshkMjg6OiI4OBi5ubn49ttvce3aNdy8eRPu7u4AgH79+qFnz56oVatWBVsrEAgEAoFAIBAI3gaEuMYLSE1NxcqVK7Fp0yb85z//gUKhgIeHB3r27KmhfCgQCAQCgUAgEAgEr4JwvP6C+Ph4AEXSmfXr15dUXgQCgUAgEAgEAoHgdRCOl0AgEAgEAoFAIBCUMUJcQyAQCAQCgUAgEAjKGOF4CQQCgUAgEAgEAkEZIxwvgUAgEAgEAoFAIChjhOMlEAgEAoFAIBAIBGWMcLwEAoFAIBAIBAKBoIwRjpdAIBAIBAKBQCAQlDHC8RIIBAKBQCAQCASCMkY4XgKBQCAQCAQCgUBQxgjHSyAQCAQCgUAgEAjKGOF4CQQCgUAgEAgEAkEZ8396O2zrzUocLwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.boxplot(data=df)\n",
    "plt.xticks(rotation=45)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "fcef6c99",
   "metadata": {},
   "outputs": [],
   "source": [
    "#缺失值处理后\n",
    "df.to_csv(r'F:\\大二下\\数据分析与可视化\\中间数据\\\\cpc_2.csv',index=False,encoding='ANSI')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e11b060a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9ae9cf7e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
